Staff Machine Learning Engineer, Artificial Intelligence, AI

This is a fully remote position, open to applicants in California.

📋 Description

• Take charge of the complete execution of Machine Learning (ML) systems, encompassing data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

• Refine and adjust models using cutting-edge techniques such as LoRA, QLoRA, SFT, DPO, and distillation.

• Design and manage scalable inference systems, ensuring a balance between latency, cost, and reliability.

• Create and sustain data systems that provide high-quality synthetic and real-world training data.

• Develop evaluation pipelines that assess performance, robustness, safety, and bias, collaborating with research leadership.

• Oversee production deployment, focusing on GPU optimization, memory efficiency, latency reduction, and scaling policies.

• Work closely with application engineering to seamlessly integrate Machine Learning (ML) systems into backend, mobile, and desktop products.

• Make practical trade-offs and implement improvements swiftly, gaining insights from actual usage.

• Operate within real production constraints, including latency, cost, reliability, and safety.

⛳️ Requirements

• Proven experience in developing or deploying real Machine Learning (ML) systems utilized by end-users, not merely demonstrations.

• Background in Artificial Intelligence (AI) is essential.

• Familiarity with large models and an understanding of their failure modes is required.

• Proficient in writing robust, production-quality code.

• You should be self-motivated, practical, and take complete ownership of results.

• Strong communication skills and the ability to collaborate effectively within small, high-trust teams are necessary.

🏝️ Benefits

• Medical insurance

• Dental

• Vision

• Savings Plan Options

• PTO