Machine Learning Engineer

Machine Learning Engineer, Multimodal AI

Member of Technical Staff, Machine Learning

San Francisco, CA, United States • Full-Time • In-Person • Salary: $150,000 - $350,000

This is a unique opportunity to join an AI research lab at the cutting edge of multimodal data and foundation models. If you want to own the entire ML lifecycle—from ambiguous customer problems to hands-on PyTorch fine-tuning and deploying production systems—this role puts you at the center of frontier AI development. Your work will directly impact the world’s most advanced models, and you’ll collaborate closely with leading labs shaping the future of AI.

What You Will Do

• Take full ownership of model quality for customer-facing video understanding problems, driving projects from initial requirements through to deployed, production-grade systems.
• Fine-tune vision-language and multimodal foundation models using PyTorch for specialized, high-impact tasks.
• Design and implement automated evaluation and QA pipelines, working with both proprietary and open-source vision-language models.
• Build high-precision filtering, ranking, retrieval, and labeling systems over internet-scale video datasets.
• Develop the datasets, benchmarks, and evaluation frameworks that continuously raise the bar for model quality.
• Own and maintain production ML pipelines, including data preprocessing, inference, post-processing, and quality validation.
• Work in-person in San Francisco, collaborating daily with a small, high-caliber team and directly with frontier AI labs to translate ambiguous requirements into scalable, robust systems.

What Is Expected

• You are a strong Python engineer with hands-on experience building production ML systems.
• You have a track record of training, fine-tuning, or deploying modern deep learning models, especially with PyTorch and vision-language or multimodal foundation models.
• You bring excellent intuition for evaluation design, dataset quality, and the practical tradeoffs between precision and recall, and you know how to spot edge cases before they reach production.
• You are comfortable owning projects end-to-end, from direct customer interaction to internal pipelines and final deployment.
• You communicate clearly and enjoy working cross-functionally.
• You are able to work onsite in San Francisco five days a week.
• Bonus if you have direct experience with video, multimodal AI, or large-scale data curation; a background at an AI lab or high-scale ML infrastructure team is also a plus.

What Is Offered

• Health insurance.
• Series A funding and stability, with work that ships directly into frontier models.
• A small, high-impact team where your contributions are visible and immediate.
• Direct collaboration with the world’s leading AI labs on projects that define the state of the art.