Pika

ML Engineer, Inference & Optimization

Palo Alto HQ · Senior

Sponsorship not specifiedDetected 28 days ago

Code ReviewMachine LearningDeep LearningLLMsResearchCommunicationCollaboration

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 efforts will play a foundational role in powering the next generation of Pika's video and language models.

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.
Technical Excellence: Drive rigorous code reviews, participate in technical discussions, and mentor fellow engineers on best practices in inference and GPU programming.
able to drive shared goals across research and engineering functions.
Lead and implement advanced inference acceleration techniques, including attention optimization and quantization for efficient model serving.
A supportive and collaborative office culture-we're all building and launching together

GPU & Parallelism: Deep knowledge of GPU programming (CUDA, NCCL) and experience with SP, TP, PP, and other forms of parallelism for distributed inference.
Deep knowledge of GPU programming (CUDA, NCCL) and experience with SP, TP, PP, and other forms of parallelism for distributed inference.
Familiarity with video generation (videogen) models and large language models (LLMs).

Experience with high-throughput video or real-time streaming model deployment
Familiarity with distributed training and optimization toolkits
Startup or rapid prototyping experience
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.
Experience in enhancing training efficiency, stability, or resource optimization for large models.

Equity in a fast-growing startup shaping the future of AI
Comprehensive health benefits, monthly stipends, company retreats
(Bonus) Contribute to improvements in model training speed, stability, and resource utilization as part of our deployment lifecycle.
Inference Mastery: Proven expertise in inference optimization, including quantization, attention acceleration, and deep learning compiler stacks.

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 work from our Palo Alto office 3-5 days a week and welcome applicants who are eager to contribute onsite.

This listing is sourced directly from Pika's careers page and normalized into a canonical job model.