Pika

ABOUT PIKA At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitive, and accessible to everyone, leveraging the power of advanced AI. We believe that AI should amplify creative expression—enabling everyone to create, collaborate, and communicate across media. Our team includes engineers, artists, and product thinkers, all passionate about building tools that unlock new creative possibilities. Pika has raised significant funding and is backed by leading investors, with a collaborative culture based in Palo Alto, CA. We prefer hybrid in-office, sharing ideas and launching products together. ABOUT THE ROLE We’re seeking a Principal Product Engineer to lead the technical vision, architecture, and roadmap for user-facing systems at Pika. In this high-impact, senior leadership role, you’ll guide the engineering direction for features that serve millions of creative users—from intuitive UIs and collaboration tools to real-time interactions and advanced generative AI experiences. You’ll work closely with product, design, and engineering leadership to deliver features that are robust, scalable, and delightful to use. You’ll influence both the immediate user experience and long-term product vision, taking ideas from strategic conception to launch and ongoing iteration. WHAT YOU’LL DO - Own and define the architecture and technical strategy for Pika’s web and multi-platform products - Spearhead the development of real-time collaboration capabilities, messaging, and live multi-user interactions - Drive product features from ideation through scoping, development, launch, and continuous improvement - Integrate complex generative AI workflows (LLMs, models, agentic tools) into creative tooling - Partner deeply with product and design leaders to deliver groundbreaking, accessible creative workflows - Champion technical excellence through high standards, architecture reviews, mentorship, and proposals - Oversee and improve cross-service metrics, tracing, and observability for critical product features WHAT WE’RE LOOKING FOR - 8+ years of professional software engineering experience, with substantial time in senior/principal engineering and product-focused roles - Distinguished track record leading the design, execution, and scaling of high-impact web or mobile products (React, TypeScript, Node.js, Go, or similar) - Demonstrated strategy and execution in building robust, user-centric features for creative applications - Comprehensive expertise in systems design: distributed systems, scalable APIs, and cloud infrastructure (AWS/GCP) - Experience working across the stack, including ML/AI infrastructure (Python, GPU-backed workflows) as required - Exceptional product intuition and a strategic mindset—driven by deep understanding of user and business needs - Excellent communication and leadership skills; able to influence across disciplines and build consensus - Strong sense of ownership and passion for delivering delightful creative experiences at scale NICE TO HAVE - Experience building or integrating generative AI, agentic workflows, or ML inference platforms (Python/PyTorch) - Creative background (design, art, architecture, or similar) - Expertise in media-rich and real-time collaboration applications - Startup experience and proven ability to thrive in fast-paced, ambiguous environments OUR STACK React, TypeScript, Python, Go, Postgres, Redis, Docker, Kubernetes, AWS/GCP WHAT WE OFFER - Competitive salary in the AI industry - Significant equity in a rapidly growing startup shaping the future of AI and creativity - Comprehensive health benefits, monthly stipends, and company retreats - Supportive, collaborative office culture—we’re building and launching together

About the Role At Pika, we are shaping the future of creative infrastructure with real-time, multimodal generation and intelligent agentic platforms. We are looking for passionate Research Interns at the BS, MS, or PhD level with significant experience working on Videogen to join our team and make an immediate impact. In this role, you will directly contribute to mid-training and post-training efforts for Videogen models and support advanced generative systems. Familiarity with multimodal large language models (MLLMs) is valued as a bonus. This internship is ideal for students and researchers who have hands-on Videogen experience, are excited to work at the intersection of generative AI and multimedia, and are eager to make meaningful contributions alongside top AI talent. Flexible part-time and full-time internship terms are available. What You’ll Do - Work directly on large-scale mid-training, post-training, and optimization efforts for Videogen models. - Design, prototype, and refine algorithms for high-throughput video and multimedia data pipelines. - Collaborate with experienced researchers and engineers on advanced AI and video generation technology. - Apply new research techniques and production-scale workflows to deploy Videogen advancements into real-world applications. What We’re Looking For - BS, MS, or PhD-level backgrounds, with demonstrated Videogen experience strongly preferred. - Expertise in video generation models or frameworks. - Proficiency in Python and ML toolkits (such as PyTorch, TensorFlow, etc.). - Prior exposure to multimodal LLM inference, generative models, or related areas is a bonus. - Fast learner who can adapt to new research and technologies quickly. - Excellent communicator and effective team collaborator. What We Offer - Flexible internship: part-time or full-time roles available - Unique opportunity to make an immediate impact with Videogen and generative AI research - Mentorship and collaboration with innovative researchers and engineers - Competitive compensation and a dynamic, mission-driven environment - Onsite work setup, with headquarters in Palo Alto, CA About Pika Pika empowers creators by building cutting-edge agentic and multimedia platforms. Our mission is to remove technical barriers and make real-time generative and intelligent orchestration accessible to everyone. If you are ready to accelerate your AI career, hone your video generation expertise, and contribute to the next wave of creative technology, we want to hear from you.

ABOUT THE ROLE We are seeking Senior/Staff level Inference Engineers to accelerate the performance of Pika's AI-driven products. In this highly technical role, you will operate at the intersection of cutting-edge inference acceleration, GPU parallelism, advanced model deployment, and video generation technologies. Your expertise will drive significant improvements to model speed and efficiency, ensuring our creative AI systems deliver industry-leading user experiences at scale. You will design and optimize inference pipelines, implement state-of-the-art acceleration techniques, and work closely with researchers and engineers across the team to push the boundaries of what’s possible in real-time AI deployment. Your efforts will play a foundational role in powering the next generation of Pika’s video and language models. WHAT YOU’LL DO - Accelerate Inference: Lead and implement advanced inference acceleration techniques, including attention optimization and quantization for efficient model serving. - Maximize GPU Parallelism: Engineer and optimize GPU strategies across tensor, sequence, and pipeline parallelism (TP, SP, PP) for maximal efficiency and scalability. - Programming for Performance: Develop and optimize high-performance computing kernels and distributed workloads using CUDA and NCCL. - Advance AI Deployment: Collaborate with research and engineering teams to bring state-of-the-art videogen and large language models into production. - Improve Training Efficiency: (Bonus) Contribute to improvements in model training speed, stability, and resource utilization as part of our deployment lifecycle. - Technical Excellence: Drive rigorous code reviews, participate in technical discussions, and mentor fellow engineers on best practices in inference and GPU programming. WHAT WE’RE LOOKING FOR - Experience: 5+ years engineering experience, with a strong track record in inference acceleration and model deployment at scale. - Inference Mastery: Proven expertise in inference optimization, including quantization, attention acceleration, and deep learning compiler stacks. - GPU & Parallelism: Deep knowledge of GPU programming (CUDA, NCCL) and experience with SP, TP, PP, and other forms of parallelism for distributed inference. - AI Domain Knowledge: Familiarity with video generation (videogen) models and large language models (LLMs). - Collaboration: Strong cross-discipline communication skills; able to drive shared goals across research and engineering functions. - Ownership Mindset: Self-driven, solutions-oriented, and capable of managing ambiguity in a fast-paced startup environment. - Bonus: Experience in enhancing training efficiency, stability, or resource optimization for large models. NICE TO HAVE - Experience with high-throughput video or real-time streaming model deployment - Familiarity with distributed training and optimization toolkits - Contributions to open source projects in AI infrastructure or deep learning compilers - Startup or rapid prototyping experience WHAT WE OFFER - Competitive salary in the AI industry - Equity in a fast-growing startup shaping the future of AI - Comprehensive health benefits, monthly stipends, company retreats - A supportive and collaborative office culture—we’re all building and launching together ABOUT PIKA At Pika, we're crafting a future where video creation is seamless, intuitive, and universally accessible. Our mission is to empower creativity by breaking down technical barriers using the transformative power of AI. We’re a tight-knit, energetic team based in Palo Alto, CA, valuing efficiency, curiosity, and the ambition to make a meaningful impact on the world. We work from our Palo Alto office 3–5 days a week and welcome applicants who are eager to contribute onsite.

ABOUT THE ROLE At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platforms. We are looking for a staff or lead-level Research Engineer, Data to architect and scale data engineering systems supporting model training for our advanced multimodal foundation models. This pivotal role will strengthen our research teams by building, optimizing, and owning large-scale data pipelines and robust ML data curation, ensuring our foundation models have access to the highest quality and most diverse datasets. If you are passionate about powerful data infrastructure and innovative research-engineering, join us to make an impact for millions of creators. WHAT YOU’LL DO - Take ownership of large-scale data pipeline architecture and implementation to support model training and research workflows for text, image, audio, and video datasets - Partner with research and engineering teams to curate, clean, and manage diverse, sensory-rich datasets for pre-training and mid-training of multimodal models - Develop strategies and tools for scalable data ingestion, labeling, filtering, augmentation, and storage - Ensure data quality, reliability, and compliance, including managing privacy and ethical considerations throughout the data lifecycle - Optimize data processing, transformation, and delivery for large-scale distributed training pipelines - Prototype and productionize new methods for dataset creation, management, and continuous improvement in response to researcher needs - Contribute to the integration of research-driven data advancements into production-ready systems - Stay informed on emerging data engineering and ML data management developments, bringing best practices to our systems WHAT WE’RE LOOKING FOR - 5+ years of experience building and scaling data pipelines for machine learning applications at staff or lead engineer level, ideally in research or model training environments - Strong background in data engineering and ML data curation for LLMs, VLMs, or other large-scale multimodal models - Expertise in distributed data systems (e.g., Spark, Hadoop, Ray, or similar) and efficient large dataset processing/ETL workflows - Proven ability to build robust, scalable, and production-grade data infrastructure for ML pipelines - Experience developing tools for data labeling, filtering, deduplication, quality assurance, and dataset management - Strong programming skills (Python, SQL, PySpark, or similar) and familiarity with cloud data platforms (AWS, GCP, Azure) - Knowledge of privacy, compliance, ethics, and best practices in data collection and management - Excellent cross-functional collaboration, problem-solving, and communication skills - Passion for enabling cutting-edge generative AI and creative technology through data excellence WHAT WE OFFER - Competitive salary and substantial equity in a high-growth startup - Full health benefits, 401k matching, and more - Collaborative, mission-driven team environment with major growth opportunities - Flexible on-site/remote hybrid (HQ in Palo Alto, CA) ABOUT PIKA Pika empowers creators by building state-of-the-art agentic and multimedia platforms. Our vision is to break down technical barriers to creativity, making real-time generative and intelligent orchestration accessible to all. Join us and help shape the next evolution of creative technology! If you are a data-driven research engineer excited to lead and scale the data infrastructure powering real-time multimodal foundation models, we want to hear from you.

ABOUT THE ROLE At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platforms. We are seeking Research Scientists with expertise in RL post-training and generative modeling for large-scale video generation. The focus is on refining Pika's video generation models using RL alignment and building robust video reward models. This is a staff and lead-level opportunity. As a key member of our research team, you will own RL-based post-training for video diffusion/flow-matching models, develop state-of-the-art reward models, and lead post-training evaluation across human and automated metrics. You will collaborate closely with engineering and product teams, shaping the frontier of real-time creative and agentic video platforms. SCOPE - RL alignment of Pika's video generation models and the reward models that drive them. - Distillation of RL-tuned models is a secondary focus. RESPONSIBILITIES - Run RL post-training (preference optimization, online RL against learned rewards) for video diffusion/flow-matching models at multi-node scale. - Build video reward models: define target evaluation dimensions, design/configure preference data collection workflows, train and validate learned judges, and safeguard against reward hacking. - Own post-training evaluation, including human preference studies and their correlation with automated metrics. - Distill RL-tuned models to efficient few-step samplers while preserving alignment gains (secondary focus). WHAT WE’RE LOOKING FOR REQUIRED - 2+ years hands-on research experience in post-training or generative modeling. - RL or preference-optimization experience on generative models with evidence of model improvement. - Strong grounding in diffusion or flow-matching models, PyTorch, and multi-node distributed training. PREFERRED - Experience developing reward models for visual generation, including VLM-as-judge or large-scale preference data collection. - Distillation expertise (distribution matching, consistency, adversarial approaches), ideally for video models. - Familiarity with video-specific failure modes: temporal drift, motion and physics realism. WHAT WE OFFER - Competitive salary and substantial equity in a high-growth startup - Full health benefits + 401k matching and more - Collaborative, mission-driven team environment with significant growth opportunities - Flexible on-site/remote hybrid (HQ in Palo Alto, CA) ABOUT PIKA Pika empowers creators by building state-of-the-art agentic and multimedia platforms. Our vision is to break down technical barriers to creativity, making real-time generative and intelligent orchestration accessible to all. Join us to shape the next evolution of creative technology! If you are passionate about advancing RL alignment and generative modeling for video, and want to scale real-time multimodal foundation models, we want to hear from you.