ML Engineer, Inference & Optimization

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Наша компания

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.

О роли

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

Чем предстоит заниматься

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

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

Наши требования

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

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

Мы предлагаем

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

Pika

Palo Alto HQ

ГрейдMiddle

ЗанятостьПолная занятость

РегионСША

ФорматОфис

ИсточникСкрыто

Опубликовано23 июня

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