# ML Engineer, Inference & Optimization at Pika > Remote · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Apika%3Afb9e43d7-36b8-46c7-93cd-2b7504e30363 (read 2026-11-06). ## Facts (observed) - Company: [Pika](https://alderhq.app/companies/pika) - Location text: US remote - Where it can be done from (inferred): Remote · United States (evidence: "Location: US remote") - Posted: 2026-06-23 (136 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-06 - Reposted: 0 times · edited: 1 times - Apply on the employer's site: https://jobs.ashbyhq.com/pika/fb9e43d7-36b8-46c7-93cd-2b7504e30363 - Skills listed (inferred): LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (United States, n 735): p25 $183k, median $224k, p75 $275k ## Description (the employer's text) ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Apika%3Afb9e43d7-36b8-46c7-93cd-2b7504e30363 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.