ML Engineer, Inference & Optimization

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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.

Publicada el 22 jun 2026