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ML Engineer, Inference & Optimization

Pika· Research
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Remote$250k - $350kFull-timePosted 3mo ago

About the role

Senior/Staff level Inference Engineer to accelerate performance of Pika's AI-driven products, focusing on inference acceleration, GPU parallelism, and real-time video generation deployment.

Responsibilities

  • 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.

Qualifications

  • 5+ years engineering experience, with a strong track record in inference acceleration and model deployment at scale.

Skills

Required:Inference optimizationGPU programmingDistributed inference
Nice to have:Video generation models (videogen)

Benefits

  • 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
Last updated Oct 18, 2026. Interested? Apply on the company site.
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About Pika

The idea-to-video platform that sets your creativity in motion.

The idea-to-video platform that sets your creativity in motion.

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