Sony Interactive Entertainment

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Data Scientist - Experimentation & Measurement San Mateo, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You’ll Be Doing: - Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. - Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. - Mentor and guide other Data Scientists, providing thought leadership and technical direction. - Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. - Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. - Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. - Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. - Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. - Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: - Bachelor’s degree or equivalent. - 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL and Python for data extraction, transformation, and analysis. - Broad and applied knowledge of statistical techniques. - Experience with machine learning modeling is a plus. - Proven ability to influence product and business decisions through clear, actionable insights. - Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: - Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. - Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $212,200 - $318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You’ll Be Doing: - Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. - Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. - Mentor and guide other Data Scientists, providing thought leadership and technical direction. - Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. - Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. - Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. - Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. - Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. - Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. asic Requirements: - Bachelor’s degree or equivalent. - 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL and Python for data extraction, transformation, and analysis. - Broad and applied knowledge of statistical techniques. - Experience with machine learning modeling is a plus. - Proven ability to influence product and business decisions through clear, actionable insights. - Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: - Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. - Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $212,200 - $318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. Understanding why those players spend, stay, and engage is a complex causal problem, and one the Player Value Science team exists to solve. We explain what drives value, where it is created or missed, and what to change, so growth can be created and protected. This role is the causal and economic core of that mission. Most analytics can tell you what happened; we're hiring someone who can rigorously explain why value moves, and turn that understanding into sharper decisions. You'll spend your time on two linked problems: explaining the economics of the platform (what drives revenue, retention, and engagement, and what to do about it), and building the simulation and offline-evaluation tooling that lets us test decision policies before we scale them. The team is both reactive and proactive: bringing proposals that turn causal understanding into incremental value, and responding when the platform needs answers. You'll work with a high degree of autonomy on ambiguous problems, and you'll be measured on the commercial decisions your work changes, not on model metrics alone. What You'll Do: - Explain why value moves across revenue, retention, and engagement, through value decomposition, cannibalisation and substitution analysis, meta-analysis across our models, and clear strategic trade-off framing. - Apply causal reasoning to understand our own models and players: why a model behaves as it does, whether an observed effect is incremental or displaced, and what genuinely drives lifetime value. - Build offline policy evaluation and simulation tooling that lets the platform identify the content, players, and policies that create incremental value, and stress-test decision policies before they scale. - Guide model development across the team, raising the standard of causal and economic thinking through review, mentoring, and example. - Turn causal understanding into concrete proposals, and respond with rigorous answers when the platform needs them. - Communicate assumptions, methods, and conclusions clearly enough that senior technical and commercial audiences can act on them with confidence. What We're Looking For: - You think in counterfactuals. You instinctively separate incremental effect from what would have happened anyway, and you reason naturally about substitution, cannibalisation, and the economics of a content platform. A background in economics, econometrics, or a similarly causal quantitative discipline is a strong fit. - Proven industry experience turning causal and economic understanding into decisions that changed commercial outcomes, in areas such as customer value, retention, pricing, or decisioning. - Depth in causal methods used to explain and understand systems: treatment-effect estimation, uplift, structural or counterfactual reasoning - The ability to build, not just analyse: you can implement models, simulation, or offline-evaluation environments and take them to production. - Strong judgement on when a sophisticated approach is warranted versus a simpler one that answers the question. - Experience owning ambiguous problems end-to-end: framing the question, choosing the approach, and delivering something the business acts on. - Fluency with large, complex behavioural datasets and the craft to work with them at scale: Python, SQL, and distributed processing (e.g. PySpark), plus standard ML tooling as the work requires. - Excellent stakeholder communication: you can make a rigorous causal argument land with a non-technical commercial audience and move a decision. - A strong quantitative academic background, typically a Master's or PhD. Nice to Have: - Experience with incrementality and uplift modelling, or with experimentation frameworks. - Reinforcement learning or contextual-bandit decisioning, and offline evaluation for recommendation or decisioning systems. - Background in gaming, e-commerce, or subscription businesses. - Experience deploying and maintaining business-critical or consumer-facing models. - Experience working in agile, fast-paced environments. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Data Scientist, Product Usage & Value Lens (SBG / PBG Finance Partnership) At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. Our Player Value Science team turns understanding of value mechanics into incrementality: we explain what drives value, where it is created or missed, and what to change, so growth can be created and protected. As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence high-stakes commercial and portfolio decisions at scale. Working closely with stakeholders across Finance, Strategy and Platform, you will work on complex and often ambiguous problems with a high degree of autonomy to shape how data informs strategy and investment decisions through a deeper understanding of player behaviour, product usage, and long-term value. This role combines deep technical expertise with strong commercial judgement. You will own the problem definition and approach, and success will be measured not only by the quality of your work, but by the adoption and impact on business outcomes. What You'll Do - Design and deliver advanced modelling approaches that quantify player value, incremental impact, and long-term platform value, applying techniques such as causal inference, forecasting, optimization and machine learning where appropriate. - Measure the incremental effect of launches, investments, and external market events, isolating true impact from what would have happened anyway, and translating that into an actionable understanding of where value is created. - Build optimization and scenario models that inform long-range planning and investment decisions under real-world constraints. - Own ambiguous problem spaces, and break down complex business challenges into tractable, measurable solutions. - Partner closely with cross-functional teams across Finance, Strategy and Platform to ensure value-driving products are robust, trusted and adopted, helping stakeholders understand how to recognise and attribute impact. - Evaluate and select modelling approaches based on problem context, balancing rigour, performance, scalability, interpretability, and business impact. - Mentor other data scientists and contribute to best practices across the team. - Communicate complex modelling approaches, assumptions and outcomes clearly to technical and non-technical audiences, including Finance leadership. What We're Looking For You combine technical depth with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on ambiguous, high-value problems, using data to deepen PlayStation's understanding of its players and its portfolio, and inform decisions and strategies that drive sustainable growth. - Proven industry experience delivering impactful, decision-grade analytical and modelling solutions in areas such as customer value, incrementality, forecasting, or investment decisioning. - Experience with optimization or operations research approaches (for example resource allocation, scheduling, or constrained planning problems), or a strong quantitative foundation to pick these up quickly. - Strong grounding in causal inference and impact measurement, with the judgement to critically assess assumptions, recognise when correlation is not enough and select approaches that are proportionate to the problem being solved. - Experience owning projects end-to-end, from problem definition and selecting methods through to delivery and business adoption. - Ability to work with large, complex datasets and translate them into scalable, trustworthy solutions. - Exceptional stakeholder management and communication skills, with a track record of influencing commercial or finance partners and communicating results persuasively to both technical and non-technical audiences. - Proficiency in Python and SQL, and comfort across the modern analytical and ML tooling ecosystem; experience with PySpark or equivalent distributed data processing tools. - A strong quantitative background, typically a Master's or PhD in operations research, machine learning, statistics, economics, or a related field. Nice to Have - Background in gaming, e-commerce, or subscription-based businesses. - Experience partnering with Finance or commercial functions on portfolio, investment, or impact-attribution problems. - Industry experience with experimentation frameworks and causal inference. - Expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. - Experience working in agile, fast-paced environments At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $167,200 - $250,800 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer in Test, AI/ML San Mateo, CA Do you have a passion for test automation? We are looking for self-motivated, quick-starter and highly proactive individuals to join our full stack team, who will be testing new and existing features on multiple platforms and devices in a software development environment and ensuring quality of automation and test frameworks. At PlayStation, we are passionate about both collaboration and technology. We love building the systems that millions of people use and are our own first customers. We are committed to being at the forefront of development technologies and are a diverse company with teams on four continents. Primary Responsibilities: - Lead end-to-end QE strategy for sophisticated features, systems, and platform integrations across PlayStation applications and services - Architect, design, and implement scalable automated test frameworks for UI, API, integration, and system-level testing - Define comprehensive test strategies, risk assessments, and quality metrics aligned with product and engineering goals - Develop and maintain robust automated test suites for web, backend, and platform services using modern automation tools and frameworks - Drive automation guidelines, coding standards, and continuous improvement initiatives across QE and development teams - Mentor junior and mid-level SDETs/QEs through code reviews, technical guidance, and testing strategy leadership - Collaborate closely with software engineers, product managers, DevOps, and release teams to improve overall software quality and delivery efficiency - Analyze test results, production issues, and system telemetry to identify root causes and implement long-term quality improvements - Build and optimize CI/CD automation pipelines to support continuous testing and rapid release cycles - Advocate for shift-left testing, testability improvements, and quality engineering culture across distributed teams Requirements: - BS or MS in Computer Science, Engineering, or related technical field, or equivalent - 6+ years of experience in Software Development Engineering in Test (SDET), Quality Engineering, or automation-focused software development - Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems - Strong programming expertise in Python, JavaScript/TypeScript, Java, C++, or similar object-oriented programming languages - Extensive experience designing scalable test automation frameworks and infrastructure from the ground up - Advanced experience with Selenium or Appium or UI Automation technologies - Deep understanding of APIs (RESTful), Libraries, SDK/Application Frameworks, Native Applications, microservices, and backend validation - Strong experience with modern frontend frameworks such as React - Experience implementing automated testing in CI/CD environments using Jenkins, GitHub Actions, CircleCI, or similar tools - Excellent technical communication, leadership, mentoring, analytical, and problem-solving skills - Ability to independently lead large-scale quality initiatives and influence engineering guidelines Bonus Qualifications: - Experience testing or developing applications for gaming consoles, embedded systems, streaming devices, or consumer electronics - Experience building internal developer tools, automation platforms, or test infrastructure services - Experience integrating automated testing into large-scale CI/CD and release management pipelines - Experience leading QE transformation initiatives or mentoring high-performing engineering teams At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $183,000 - $274,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Software Development Engineer In Test, ML/AI PlayStation offers more than just the Best Place to Play; it is also a top workplace. Today, we are a global entertainment leader. Our portfolio includes PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and well-known software from PlayStation Studios. PlayStation works to foster an inclusive environment where employees feel supported and diversity is valued. We encourage individuals with passion and curiosity for innovation, technology, and play to apply for our open roles and become part of our growing distributed team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows . The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do - Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. - Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. - Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. - Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. - Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. - Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. - Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. - Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. - Improve automation reliability, reduce flakiness, and optimize execution efficiency. - Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. - Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications - Bachelor’s degree in Computer Science or equivalent practical experience. - 3+ years of experience as an SDET or QE engineer focused on backend and distributed systems. - Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. - Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. - Strong experience testing RESTful APIs, microservices, and distributed architectures. - Proficiency in Python, Java, JS or similar languages for automation development. - Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. - Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). - Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). - Familiarity with databases, monitoring, and observability tools. - Strong understanding of SDLC, Agile methodologies, and release processes. - Excellent problem-solving, debugging, and communication skills. Preferred qualifications - Experience validating ML outputs using statistical analysis or scenario-based testing approaches. - Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). - Prior work in content moderation ML, security, fraud detection, or adversarial ML. - Experience testing high-scale, low-latency online services. - Experience with Databricks or similar ML platform tooling. - Familiarity with Node.js, React, or modern frontend technologies. - Experience testing mobile, console, or other non-PC platforms. What sets you apart - Strong combination of automation engineering and delivery ownership. - Ability to drive quality across complex cross-functional initiatives. - Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. - Proven risk management and dependency coordination skills. - Ability to influence engineering teams and promote quality guidelines. - Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $140,500 - $210,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Staff Data Scientist , you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions. What You’ll Be Doing: - Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments. - Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities. - Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact. - Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals. - Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams. - Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations. - Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility - Represent the team’s insights and innovations across the broader data science and product communities within PlayStation. - Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities. What We’re Looking For: - Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred. - Strong familiarity with the gaming industry and contemporary gaming experiences. - 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity. - Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment. - Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling. - Expertise in causal inference techniques and designing both randomized and quasi-experiments. - Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions. - Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders. - Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy). - A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation. Benefits: - Discretionary bonus opportunity - Hybrid Working (within Flexmodes) - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer, Machine Learning Platform San Diego, CA Role Overview Sony Interactive Entertainment LLC seeks a Senior Software Engineer, Machine Learning Platform in San Diego, CA to architect and lead the design of next-generation ML inference infrastructure to support globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency. Requirements - Master’s degree in Computer Science or related field or equivalent and five (5) years of experience designing and deploying low-latency, high-throughput inference systems supporting computer vision and multimodal models including CNNs, segmentation and object detection; building large-scale distributed systems in Scala using reactive frameworks, multithreading, and Guice dependency injection; integrating enterprise feature stores to ensure consistent, low-latency feature delivery; developing ML inference services within Bazel-based monorepos ensuring hermetic builds and seamless integration with secure enterprise CI/CD pipelines (Prow); extending GitHub Prow workflows by writing Golang plugins/controllers to automate reviews, enforce policies, and coordinate multi-repo build/test/deploy pipelines; utilizing Pulumi to provision and manage scalable, reproducible, and cloud-agnostic inference environments; applying formal methods and computational theory to enhance scalability, reliability, and performance of distributed inference algorithms; optimizing ML algorithms in Scala, Java, and Go to improve memory efficiency, hardware utilization, and runtime speed; designing advanced observability frameworks with distributed tracing, model drift detection, and performance analytics; and standardizing ML platform practices while mentoring engineers and aligning architecture with MLOps, compliance (GDPR, SOC2), and scalability standards. - Telecommuting and/or working from home may be permissible pursuant to company policies. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $187,363 – $265,900/year Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do - Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. - Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. - Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. - Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. - Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. - Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. - Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. - Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. - Improve automation reliability, reduce flakiness, and optimize execution efficiency. - Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. - Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications - Bachelor’s degree in Computer Science or equivalent - 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. - Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. - Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. - Strong experience testing RESTful APIs, microservices, and distributed architectures. - Proficiency in Python, Java, JS or similar languages for automation development. - Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. - Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). - Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). - Familiarity with databases, monitoring, and observability tools. - Strong understanding of SDLC, Agile methodologies, and release processes. - Excellent problem-solving, debugging, and communication skills. Preferred qualifications - Experience validating ML outputs using statistical analysis or scenario-based testing approaches. - Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). - Prior work in content moderation ML, security, fraud detection, or adversarial ML. - Experience testing high-scale, low-latency online services. - Experience with Databricks or similar ML platform tooling. - Familiarity with Node.js, React, or modern frontend technologies. - Experience testing mobile, console, or other non-PC platforms. What sets you apart - Strong combination of automation engineering and delivery ownership. - Ability to drive quality across complex cross-functional initiatives. - Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. - Proven risk management and dependency coordination skills. - Ability to influence engineering teams and promote quality guidelines. - Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $183,000 - $274,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department Overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding the drivers of long-term player value and enabling better business decisions through robust forecasting and insight generation. As a Causal Insights Specialist, you will help transform how PlayStation measures and optimises player value by identifying the true impact of products, features, and commercial interventions on long-term player outcomes. You will develop causal measurement frameworks and apply causal inference techniques to distinguish correlation from causation, enabling more effective investment decisions across the player lifecycle. This role is ideal for someone who is passionate about understanding why outcomes occur, enjoys solving complex business problems through rigorous analysis, and can translate causal insights into actionable recommendations for stakeholders. What you'll be doing: - Apply causal inference methodologies to measure the incremental impact of player experiences, lifecycle interventions, product features, and commercial initiatives on Customer Lifetime Value (CLV). - Design, analyse, and interpret experiments, quasi-experiments, and observational studies to answer strategic business questions. - Support the development of frameworks for measuring incremental CLV, uplift, and causal impact across acquisition, engagement, retention, and monetisation initiatives. - Work with cross-functional teams and business stakeholders to identify opportunities where causal measurement can improve decision-making and resource allocation. - Analyse large-scale behavioural and transactional datasets to uncover drivers of player value and quantify their causal impact. - Apply techniques such as propensity score matching, difference-in-differences, causal forests, and broader synthetic controls where appropriate. - Collaborate with data scientists, analysts, and engineers to operationalise causal insights and embed them into decision-making processes. - Translate complex analyses into clear and actionable recommendations for both technical and non-technical audiences. - Contribute to the evolution of PlayStation’s CLV framework by incorporating causal approaches to understanding long-term player value. What we're looking for: You’re intellectually curious, analytical, and passionate about understanding cause-and-effect relationships in complex systems. You bring strong quantitative skills and enjoy applying rigorous methods to high-impact business challenges. - Experience applying causal inference techniques in a commercial, product, marketing, or research environment. - Strong understanding of causal inference methods. - Exposure to experimental design and A/B testing. - Ability to independently frame business questions, select appropriate methodologies, and deliver actionable recommendations. - Proficiency in Python and SQL, with experience using statistical and causal inference libraries. - Strong foundation in statistics. - Experience working with large datasets and translating findings into business decisions. - Excellent communication and stakeholder management skills, with the ability to explain complex methodologies and findings to diverse audiences. - Ability to balance methodological rigour with practical business considerations. - Strong problem-solving skills and a structured approach to tackling data challenges. - A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Economics, Econometrics, Computer Science, or a related quantitative field.) Nice to have: - Familiarity with modern causal machine learning techniques such as Double Machine Learning, Causal Forests, Meta-Learners, and Uplift Models. - Experience evaluating incrementality, or uplift using experimental data. - Knowledge of Bayesian methods for causal analysis and decision-making. - Experience in gaming, e-commerce, or subscription-based products. - Experience working with large-scale data using PySpark or equivalent distributed data processing tools. - Familiarity with production environments, MLOps, or data pipelines. Benefits: - Discretionary bonus opportunity - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. As a Data Scientist , you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making. What you’ll be doing: - Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. - Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. - Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. - Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs. - Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights. - Clearly communicate findings and recommendations to both technical and non-technical audiences. - Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems. What we are looking for: You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems. - Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting. - Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. - Proficiency in Python and SQL, and familiarity with common data science and ML libraries. - Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems. - Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders. - Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems. - Experience working with large datasets to generate actionable insights. - A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science). Nice to Have: - Familiarity with production environments, MLOps, or data pipelines. - Experience working with large-scale data using PySpark or equivalent distributed data processing tools. - Experience in gaming, e-commerce, or subscription-based products. Benefits: - Discretionary bonus opportunity - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C) Data Science organization brings together Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business across commerce, payments, subscriptions, lifecycle experiences, and player-facing services. We partner closely with product, engineering, finance, marketing, operations, and data teams to turn experimentation, forecasting, modeling, and production-quality measurement into better decisions and better player experiences. About The Role We are looking for a Data Scientist to join a focused team within D2C Data Science supporting payment and subscription experiences across PlayStation’s direct-to-consumer business. This is a hands-on role for someone who can use statistics, machine learning, experimentation, and strong data judgment to help teams make better decisions about how players pay, subscribe, and move through global payment flows. The initial portfolio is expected to focus on payment method performance, payment flow optimization, subscription payment recovery, and ROI-based evaluation of experiments and business interventions. You will help teams understand customer behavior, payment success, cost and routing tradeoffs, and the business impact of new payment capabilities. Our team values practical scientific rigor: clear decision framing, trusted reusable metrics, transparent uncertainty, and recommendations that help teams move faster without sacrificing measurement quality. This role is best suited for someone who can independently own well-scoped analyses and models, work through ambiguity, and translate complex data into recommendations that improve customer experience and business performance. Responsibilities - Apply data science methods to high-impact questions across D2C payments, subscriptions, commerce, lifecycle, and player experience. - Design, analyze, and interpret A/B tests, holdouts, quasi-experimental analyses, and other measurement approaches with clear hypotheses, metrics, and decision criteria. - Analyze payment and subscription outcomes such as payment success, authorization performance, payment funnel behavior, routing or retry performance, cost tradeoffs, and subscription recovery. - Build statistical and machine learning models for forecasting, segmentation, propensity, retention, payment success, payment optimization, subscription outcomes, or offer performance. - Use SQL and Python to prepare data, validate assumptions, analyze behavior, and produce reproducible analytical workflows. - Partner with product, engineering, finance, marketing, operations, and data engineering teams to ensure analyses are technically sound, actionable, and operationally useful. - Communicate findings with clear recommendations, confidence levels, caveats, tradeoffs, next steps, and reusable documentation that supports better decision-making. Basic Qualifications - 3+ years of professional experience in data science or machine learning - Bachelor's degree in statistics, mathematics, computer science, engineering, data science, or a related quantitative field or equivalent - Strong SQL and Python skills for data extraction, data validation, analysis, modeling, and reproducible workflows. - Solid foundation in statistics, experimental design, machine learning, predictive modeling. - Experience applying data science methods to ambiguous commercial, customer, payment, subscription, or operational problems. - Ability to communicate technical findings clearly to technical and non-technical partners. Preferred Qualifications - Experience with digital commerce, payments, billing, subscriptions, fintech, marketplaces, gaming, media, or scaled consumer technology businesses. - Experience with payment method performance, authorization or success-rate analysis, payment optimization, routing or retry strategies, cost analysis, payment telemetry, or subscription recovery. - Experience designing, running, or analyzing experiments, including A/B tests, holdouts, quasi-experimental approaches, or causal inference methods. - Experience with forecasting, customer segmentation, churn / retention modeling, offer measurement, payment success modeling, subscription lifecycle analytics, or ROI-based business evaluation. - Experience working with large-scale data environments such as Snowflake, Databricks, Spark, BigQuery , or similar platforms, and familiarity with metric layers or source-of-truth datasets. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $143,400 - $215,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department Overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. As a Data Scientist, you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making. What You’ll Be Doing: - Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. - Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. - Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. - Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs. - Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights. - Clearly communicate findings and recommendations to both technical and non-technical audiences. - Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems. What We’re Looking For: You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems. - Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting. - Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. - Proficiency in Python and SQL, and familiarity with common data science and ML libraries. - Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems. - Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders. - Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems. - Experience working with large datasets to generate actionable insights. - A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science). Nice to Have: - Familiarity with production environments, MLOps, or data pipelines. - Experience working with large-scale data using PySpark or equivalent distributed data processing tools. - Experience in gaming, e-commerce, or subscription-based products. Benefits: - Discretionary bonus opportunity - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. AI Software Engineer - D2C - SPOC Sony Interactive Entertainment (SIE) PlayStation; San Diego, CA Who we are The Direct to Consumer (D2C) Data Science organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software Engineer to help design, build, and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products, services, and automation. You will work with core engineering, operations, data, risk, and product partners to build AI-powered workflows that improve speed, quality, insight, and decision support. The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform components. The ideal candidate is a strong software engineer with backend or platform experience and practical hands-on applied AI experience. You are comfortable building with foundation model APIs, vector and hybrid search, prompt and model evaluation, AI observability, and cloud-based services, and you are eager to learn while contributing to reliable production systems. What you’ll be doing Build Applied AI Features: Implement services, workflows, and reusable components for LLM-powered automation, retrieval, tool use, summarization, classification, decision support, and knowledge workflows. Solve Business Problems with AI: Collaborate with operations, product, data, risk, and engineering stakeholders to understand use cases, prototype solutions, measure outcomes, and help move proven capabilities into production. Support Agentic Workflows and Integrations: Build AI workflows that use tool/function calling, structured outputs, workflow state, internal APIs, and human review patterns to take useful action while staying auditable and controlled. Develop Retrieval and Knowledge Systems: Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness strategies. Improve AI Quality, Safety, and Evaluation: Create and maintain evaluation suites, regression tests, prompt/model versioning, trace analysis, guardrails, policy checks, PII handling, hallucination mitigation, and operational monitoring. Production AI Engineering: Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services. Cloud Delivery and Automation: Deploy AI services using AWS, containers, infrastructure as code, CI/CD pipelines, secrets management, observability, and operational runbooks. Cross-Functional Collaboration: Participate in design reviews, implementation planning, troubleshooting, documentation, and knowledge sharing across technical and non-technical teams. What we’re looking for Educational Background: Bachelor's degree in computer science, engineering, a related technical field, or equivalent practical experience, with 2+ years of professional software engineering experience. Applied AI Experience: Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services. Coding Proficiency: Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design. Cloud Competency: Experience with AWS or equivalent cloud services RAG and Retrieval Systems: Familiarity with embeddings, chunking, indexing, retrieval strategies, vector and hybrid search, reranking, citations, and vector stores such as OpenSearch, Pinecone, Weaviate, Redis, pgvector, Azure AI Search, or similar technologies. Agent and Workflow Orchestration: Experience with AI orchestration patterns and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, N8N, AWS Bedrock Agents and Knowledge Bases, or comparable tools. Structured Outputs and Tool Use: Experience designing prompts, schemas, tool/function calls, workflow contracts, and validation logic so AI systems can produce dependable outputs and interact safely with internal systems. AI Observability and Evaluation: Familiarity with tracing, monitoring, evals, prompt testing, quality metrics, and debugging tools such as LangSmith, Arize Phoenix, OpenTelemetry, Datadog, Splunk, New Relic, CloudWatch, or comparable platforms. Communication Skills: Possesses exceptional communication skills, able to turn business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs in clear, practical terms. Preferred Skills Model Context and Connectors: Familiarity with Model Context Protocol (MCP) or similar patterns for connecting AI applications to enterprise tools, databases, documents, and workflows. Multimodal AI Systems: Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows. Commerce or Trust Domain Experience: Experience applying AI to fraud, payments, risk, customer support, marketplace operations, trust and safety, content operations, or digital commerce business processes. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,000 - $225,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Who we are: The Direct to Consumer (D2C) Data Science organisation comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview: Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software Engineer to help design, build, and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products, services, and automation. You will work with core engineering, operations, data, risk, and product partners to build AI-powered workflows that improve speed, quality, insight, and decision support. The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform components. The ideal candidate is a strong Software Engineer with backend or platform experience and practical hands-on applied AI experience. You are comfortable building with foundation model APIs, vector and hybrid search, prompt and model evaluation, AI observability, and cloud-based services, and you are eager to learn while contributing to reliable production systems. What you’ll be doing: - Build Applied AI features: - Implement services, workflows, and reusable components for LLM-powered automation, retrieval, tool use, summarization, classification, decision support, and knowledge workflows. - Solve Business Problems with AI: - Collaborate with operations, product, data, risk, and engineering stakeholders to understand use cases, prototype solutions, measure outcomes, and help move proven capabilities into production. - Support Agentic Workflows and Integrations: - Build AI workflows that use tool/function calling, structured outputs, workflow state, internal APIs, and human review patterns to take useful action while staying auditable and controlled. - Develop Retrieval and Knowledge Systems: - Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness strategies. - Improve AI Quality, Safety, and Evaluation: - Create and maintain evaluation suites, regression tests, prompt/model versioning, trace analysis, guardrails, policy checks, PII handling, hallucination mitigation, and operational monitoring. - Production AI Engineering: - Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services. - Cloud Delivery and Automation: - Deploy AI services using AWS, containers, infrastructure as code, CI/CD pipelines, secrets management, observability, and operational runbooks. - Cross-Functional Collaboration: - Participate in design reviews, implementation planning, troubleshooting, documentation, and knowledge sharing across technical and non-technical teams. What we’re looking for: - 3+ years (or equivalent) of Software Engineering experience within a professional working environment - Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services. - Coding Proficiency: Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design. - Cloud Competency: Experience with AWS or equivalent cloud services - RAG and Retrieval Systems: Familiarity with embeddings, chunking, indexing, retrieval strategies, vector and hybrid search, reranking, citations, and vector stores such as OpenSearch, Pinecone, Weaviate, Redis, pgvector, Azure AI Search, or similar technologies. - Agent and Workflow Orchestration: Experience with AI orchestration patterns and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, N8N, AWS Bedrock Agents and Knowledge Bases, or comparable tools. - Structured Outputs and Tool Use: Experience designing prompts, schemas, tool/function calls, workflow contracts, and validation logic so AI systems can produce dependable outputs and interact safely with internal systems. - AI Observability and Evaluation: Familiarity with tracing, monitoring, evals, prompt testing, quality metrics, and debugging tools such as LangSmith, Arize Phoenix, OpenTelemetry, Datadog, Splunk, New Relic, CloudWatch, or comparable platforms. Desirable: - Degree and/or qualification in Computer Science, Software Engineering, or a related technical field - Model Context and Connectors: Familiarity with Model Context Protocol (MCP) or similar patterns for connecting AI applications to enterprise tools, databases, documents, and workflows. - Multimodal AI Systems: Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows. - Commerce or Trust Domain Experience: Experience applying AI to fraud, payments, risk, customer support, marketplace operations, trust and safety, content operations, or digital commerce business processes. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Sony Corporation of America , located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en . Position Summary Sony Corporation of America currently has an opening for Staff Research Engineer in our U.S. Research Center located in Culver City, CA. This position is responsible for leading technical efforts on developing AI/ML based animation core technologies and producing Next Gen. photo-real 3D CG animation content for Sony’s future business and services. Responsibilities include driving technical requirements for novel animation algorithm R&D in close collaboration with Sony’s professional creators and world-class research scientist teams to analyze, benchmark, validate and develop complex algorithms of novel 3D content creation workflow efficiently. Finally, you will be responsible for invention disclosures, working with patent attorneys to secure intellectual property. JOB RESPONSIBILITIES - Technical Lead in fundamental theories, principles and algorithm development in the field of AI/ML 3D CG animation and visualization based on scientific survey, analysis, benchmark and validation. - Actively engage in project’s new initiatives and strategy. Support, propose and contribute to project plan for new business creation. - Document all phases of research and development. - Oversee submission of intellectual property. - Travel to visit project collaborators in oversea. - Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above QUALIFICATIONS FOR POSITION Your qualifications and experience should include: - PhD in Computer Science, or Electrical Engineering, or related scientific field, is required. - Solid publication record in AI/ML based 3D CG animation algorithm research, particularly in the field of facial animation, hair or garment modeling/simulation. - 4+ years of industry experience, preferably in 3D Computer Graphics. - Excellent communication skills are required. - Highly proficient with Unreal Engine (MetaHuman), Maya, or related CG platforms. - All candidates must be authorized to work in the USA. We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology. ” Benefits: SCA offers benefits-eligible employees ( generally regular   employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being. What we offer you: - Comprehensive medical, prescription drug, dental, and vision coverage   with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) - Employee   assistance   plan and comprehensive behavioral health benefits - Fertility benefits, including, surrogacy, and adoption   assistance   programs - Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children - Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance - Short-term & long-term disability plans - Up to   12 weeks   of paid parental and caregiver leave - 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting - Education   assistance   and student loan programs Other Programs: - Flexible Work Arrangements, including remote and hybrid work schedules - Time off to include vacation, paid holidays, sick leave, Summer Fridays ( early release ), and a winter break between Christmas and New Year’s Day (based on business needs) - Referral bonuses (subject to eligibility) - Matching gift program - A wide variety of employee business resource groups (EBRGs) - Special discounts   on Sony products, offered exclusively to Sony employees - Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) The   anticipated   annual base salary for this position is $175,000 to $200,000.   In addition to the annual base salary, this role has an annual bonus target of   13%.   This   range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. LI-AS1 SCA will consider qualified applicants with arrest or conviction records   in accordance with   applicable law. All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings.  We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page:  www.sonyjobs.com .  Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process.  If you have any doubts about the authenticity of a job posting or communication, please contact  careers@sonyusa.com  before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Sony Corporation of America , located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en . Position Summary Sony Corporation of America currently has an opening for Senior Research Engineer in our U.S. Research Center located in Culver City, CA. This position is responsible for leading technical efforts on developing AI/ML based animation core technologies and producing Next Gen. photo-real 3D CG animation content for Sony’s future business and services. Responsibilities include driving technical requirements for novel animation algorithm R&D in close collaboration with Sony’s professional creators and world-class research scientist teams to analyze, benchmark, validate and develop complex algorithms of novel 3D content creation workflow efficiently. Finally, you will be responsible for invention disclosures, working with patent attorneys to secure intellectual property. Responsibilities - Individual contributor in fundamental theories, principles and algorithm development in the field of AI/ML 3D CG animation and visualization based on scientific survey, analysis, benchmark and validation. - Support manager’s new initiatives and strategy. Support, propose and contribute to project plan for new business creation. - Document all phases of research and development. - Oversee submission of intellectual property. - Travel to visit project collaborators overseas. Qualifications - PhD in Computer Science, or Electrical Engineering, or related scientific field, is required. - Solid publication record in AI/ML based 3D CG animation algorithm research, particularly in the field of facial animation, hair or garment modeling/simulation. - 0-3 years of industry experience, preferably in 3D Computer Graphics. - Excellent communication skills are required. - Highly proficient with Unreal Engine (MetaHuman), Maya, or related CG platforms. - All candidates must be authorized to work in the USA. The anticipated annual base salary for this position is $150,000 to $175,000. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings.  We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page:  www.sonyjobs.com .  Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process.  If you have any doubts about the authenticity of a job posting or communication, please contact  careers@sonyusa.com  before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/ About Sony Research Ethics Team Sony Research is dedicated to driving innovation, advancing technology and ensuring that AI is developed responsibly, ethically, and inclusively. The AI Ethics team focuses on creating frameworks, tools, and methodologies that promote trust, transparency, fairness, and accountability in AI tools and technologies. https://ai.sony/projects/ai-ethics/ Position Summary We are seeking a motivated Research Intern to join our interdisciplinary team at the forefront of AI Ethics, Safety, and Responsible AI for a 3-month research internship. You will work on open research questions in generative AI, including data collection, guardrails, evaluation, and benchmarking to tackle fundamental ethical challenges that arise when AI is deployed at scale in a global entertainment company. This is an opportunity to conduct meaningful, publishable research in collaboration with experienced researchers and engineers across a globally diverse team. We actively support interns in co-authoring papers and submitting to top-tier venues, making this an ideal opportunity to advance your doctoral research while contributing to real-world impact. Responsibilities Responsibilities will depend on the project you are assigned to, and will include a combination of the following: Conduct innovative research in AI ethics, including but not limited to data collection, AI evaluation and harm mitigation. Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in natural language processing and computer vision, such as bias, privacy, copyright and transparency. Improve the performance of open models to detect and mitigate AI harms. Set up technical experiments to conduct evaluations of open models. Contribute to research with the potential for publication. Qualifications Currently pursuing a degree (PhD preferred) in Computer Science or socio-technical AI topics. Strong foundations in AI and machine learning techniques in computer vision or natural language processing. Familiarity with generative AI evaluation, benchmarking, red-teaming or guardrail development. Experience using Python and deep learning libraries (e.g., PyTorch, HuggingFace Transformers) to develop, fine-tune, or evaluate generative AI models. Strong interest in AI ethics and responsible AI development. Proven research, analytical, and problem-solving skills. Self-motivated and capable of proposing and implementing innovative ideas. Excellent written and verbal communication skills in English. Preferred: Experience with research communities, including having published papers at conferences/journals Location: USA remote Start date: 15 June 2026 or as agreed Duration: 3 months Apply by: 30 April 2026 Apply now and make an impact with the Sony AI Ethics Team! The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime. #LI-AS1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com. Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish) Purpose Fill the world with emotion, through the power of creativity and technology. Values Dreams & Curiosity Pioneer the future with dreams and curiosity. Diversity Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity Earn the trust for the Sony brand through ethical and responsible conduct. Sustainability Fulfill our stakeholder responsibilities through disciplined business practices.

Sony Research is dedicated to driving innovation, advancing technology and ensuring that AI is developed responsibly, ethically, and inclusively. The AI Ethics team focuses on creating frameworks, tools, and methodologies that promote trust, transparency, fairness, and accountability in AI tools and technologies. https://ai.sony/projects/ai-ethics/ Learn more about Sony AI here: www.linkedin.com/company/sonyai/life https://ai.sony We are seeking a motivated Research Intern to join our interdisciplinary team at the forefront of AI Ethics, Safety, and Responsible AI for a 3-month research internship. You will work on open research questions in generative AI, including data collection, guardrails, evaluation, and benchmarking to tackle fundamental ethical challenges that arise when AI is deployed at scale in a global entertainment company. This is an opportunity to conduct meaningful, publishable research in collaboration with experienced researchers and engineers across a globally diverse team. We actively support interns in co-authoring papers and submitting to top-tier venues, making this an ideal opportunity to advance your doctoral research while contributing to real-world impact. Roles and Responsibilities: Responsibilities will depend on the project you are assigned to, and will include a combination of the following: Conduct innovative research in AI ethics, including but not limited to data collection, AI evaluation and harm mitigation. Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in natural language processing and computer vision, such as bias, privacy, copyright and transparency. Improve the performance of open models to detect and mitigate AI harms. Set up technical experiments to conduct evaluations of open models. Contribute to research with the potential for publication. Required Qualifications and Skills: Currently pursuing a degree (PhD preferred) in Computer Science or socio-technical AI topics. Strong foundations in AI and machine learning techniques in computer vision or natural language processing. Familiarity with generative AI evaluation, benchmarking, red-teaming or guardrail development. Experience using Python and deep learning libraries (e.g., PyTorch, HuggingFace Transformers) to develop, fine-tune, or evaluate generative AI models. Strong interest in AI ethics and responsible AI development. Proven research, analytical, and problem-solving skills. Self-motivated and capable of proposing and implementing innovative ideas. Excellent written and verbal communication skills in English. Preferred: Experience with research communities, including having published papers at conferences/journals Location: Preference will be given to candidates based on-site in Zurich; however, remote applicants located in the EU, UK, or the United States may also be considered. Applicants must ensure they are legally authorized to work in the country from which they apply, as visa sponsorship is not provided. Start date: 15 June 2026 or as agreed Duration: 3 months Your new office: Surrounded by Swiss Alps, the Schlieren office is at the doorstep of Zurich, which is consistently voted in top three best cities to live. The city benefits from a very rich ecosystem where prestigious universities, research institutes, companies and organizations collaborate for the development and design of next generation technologies. Our office is very well connected with public transports (train, tram, bus) and located in a very modern and bright building. We have several enjoyable break rooms as well as a terrace which we use for regular social team events or as a casual working area. Our team is unique and international, representing engineering and sales/marketing functions, which creates this unique and passionate Sony Swiss DNA. Life at Sony Research: Our work environment is diverse and motivated with an innovative open mindset. Sony AI is committed to building a diverse team of people with different characters, stories and skillsets because we know this drives innovation and creativity. Our commitment to nurturing a friendly and supportive place of work where everyone has a sense of belonging and inclusion creates an atmosphere of learning and personal growth. We focus on achieving healthy work-life balance for our teams, supported by hybrid and flexible working. You will work on exciting projects at the cutting edge of AI that are in the realms of entertainment or for the betterment of society, and you will have access to the most innovative technologies from across the Sony universe and the opportunity to partner with Sony’s leading companies. When projects are finished, we publish our work, and all our contributors are recognised on research pieces, at top-tier conferences, and in journals. You will also have access to workshops and development programs to expand your knowledge and skills. We want you to drive your career, find your direction and take authorship of your personal story at Sony AI, while enjoying the security and the resource-rich environment that comes with being part of a global corporation that has R&D in its DNA. Bring your uniqueness to Sony: We are passionate about creating a culture that promotes equity and cultivates inclusion, diversity, and belonging. We want employees with diverse backgrounds and perspectives that will stimulate innovation and have a direct impact on our creation of social value to fulfil Sony’s purpose – ‘to fill the world with emotion, through the power of creativity and technology’. We want you to bring your unique self to work and help shape our culture. Equal Opportunity: Sony Europe is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, gender, citizenship, ancestry, age, physical or mental disability, sexual orientation, gender identity, medical condition, or any other protected characteristics. Disability Accommodation for Applicants to Sony Europe Sony Europe will provide reasonable accommodation for any qualified individuals with disabilities in the application process. For reasonable accommodation requests, please contact us by email at AccommodationRequest@eu.sony.com or by mail to: Sony Europe Limited, Human Resources Department, the Heights, Brooklands, Surrey, KT13 0XW, UK. When contacting us please indicate the position you are applying for, and the accommodation required. Recruitment Fraud Notice Please be aware that unauthorised individuals or organisations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. While we take these matters seriously, we cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Sony Europe Career Portal. Please also be advised that we never request payment or personal financial information. #LI-CM1 Purpose Fill the world with emotion, through the power of creativity and technology. Values Dreams & Curiosity Pioneer the future with dreams and curiosity. Diversity Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity Earn the trust for the Sony brand through ethical and responsible conduct. Sustainability Fulfill our stakeholder responsibilities through disciplined business practices.

About Us: Sony AI's Music Technology Team is at the forefront of ML-driven music and audio research. We ideate, research, and develop cutting-edge machine learning technologies for audio and music, contributing to scientific publications and Sony Group initiatives worldwide. We collaborate across EU, JP, and US teams in an English-speaking, internationally diverse environment. Learn more about Sony AI here: www.linkedin.com/company/sonyai/life, https://ai.sony The Opportunity: We are hiring two Research Scientists to push the boundaries of machine learning for audio and music. Within this role, you will: Investigate and develop novel algorithms combining signal processing and ML. Work in areas such as: Music generative modelling (e.g., diffusion models). Music retrieval and matching (supervised/self-supervised). Lead small research projects end-to-end. Access world-class resources and top-tier internal talent. Collaborate with Sony Research teams and Business Groups globally. Required Qualifications and Skills: Recent PhD in a relevant field (less than two years since graduation). Publications in top ML conferences (NeurIPS, ICLR, ICML, etc.). Strong coding skills (Python, Pytorch, Slurm, Linux). Experience with large-scale data (preparation, cleaning, pre-processing, training). Excellent scientific writing and presentation skills. Innovative, out-of-the-box thinking. Preferred Qualifications Publications in top audio conferences (ICASSP, ISMIR, InterSpeech, etc.). Genuine passion for music and audio beyond ML applications. Comfort with iterative (and from-scratch) reimplementation and experimentation. Critical mindset toward established evaluation protocols. Life at Sony Research: Our work environment is diverse and motivated with an innovative open mindset. Sony AI is committed to building a diverse team of people with different characters, stories and skillsets because we know this drives innovation and creativity. Our commitment to nurturing a friendly and supportive place of work where everyone has a sense of belonging and inclusion creates an atmosphere of learning and personal growth. We focus on achieving healthy work-life balance for our teams, supported by hybrid and flexible working. You will work on exciting projects at the cutting edge of AI that are in the realms of entertainment or for the betterment of society, and you will have access to the most innovative technologies from across the Sony universe and the opportunity to partner with Sony’s leading companies. When projects are finished, we publish our work, and all our contributors are recognised on research pieces, at top-tier conferences, and in journals. You will also have access to workshops and development programs to expand your knowledge and skills. We want you to drive your career, find your direction and take authorship of your personal story at Sony AI, while enjoying the security and the resource-rich environment that comes with being part of a global corporation that has R&D in its DNA. Bring your uniqueness to Sony: We are passionate about creating a culture that promotes equity and cultivates inclusion, diversity, and belonging. We want employees with diverse backgrounds and perspectives that will stimulate innovation and have a direct impact on our creation of social value to fulfil Sony’s purpose – ‘to fill the world with emotion, through the power of creativity and technology’. We want you to bring your unique self to work and help shape our culture. Equal Opportunity: Sony Europe is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, gender, citizenship, ancestry, age, physical or mental disability, sexual orientation, gender identity, medical condition, or any other protected characteristics. Disability Accommodation for Applicants to Sony Europe Sony Europe will provide reasonable accommodation for any qualified individuals with disabilities in the application process. For reasonable accommodation requests, please contact us by email at AccommodationRequest@eu.sony.com or by mail to: Sony Europe Limited, Human Resources Department, the Heights, Brooklands, Surrey, KT13 0XW, UK. When contacting us please indicate the position you are applying for, and the accommodation required. Recruitment Fraud Notice Please be aware that unauthorised individuals or organisations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. While we take these matters seriously, we cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Sony Europe Career Portal. Please also be advised that we never request payment or personal financial information. #LI-CM1 Purpose Fill the world with emotion, through the power of creativity and technology. Values Dreams & Curiosity Pioneer the future with dreams and curiosity. Diversity Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity Earn the trust for the Sony brand through ethical and responsible conduct. Sustainability Fulfill our stakeholder responsibilities through disciplined business practices.