Staff ML Engineer: Production-Scale AI & Equity

Hive; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Job summary

Deploy seeks a Staff Machine Learning Engineer in San Francisco to push state-of-the-art ML models into production at scale. You will own end-to-end development, design robust data pipelines, and mentor teammates while collaborating with product, platform, and security teams.

You will lead research, prototyping, and deployment of high-throughput ML systems, ensuring reliability and performance in production environments.

Qualifications

• Required: Bachelor's in CS or related field.
• 8+ years building web apps and distributed systems.
• Experience delivering scalable backend APIs.
• Expert in ML frameworks (PyTorch or TensorFlow) and Python.
• Strong collaboration and communication skills.

Responsibilities

• Lead end-to-end ML development from design to deployment.
• Build scalable data pipelines and high-throughput models.
• Mentor ML engineers and collaborate with cross-functional teams.
• Improve engineering standards and tooling.
• Research and prototype state-of-the-art algorithms for production.

Skills

Web app experience

Distributed systems

Backend APIs

Communication skills

Distributed training

Python scripting

PyTorch/TensorFlow

ML focus area (CV/NLP)

Leadership/mentorship

Education

Bachelor's Degree in computer science or related field

Job description

Deploy seeks a Staff Machine Learning Engineer in San Francisco to push state-of-the-art ML models into production at scale. You will own end-to-end development, design robust data pipelines, and mentor teammates while collaborating with product, platform, and security teams.

You will lead research, prototyping, and deployment of high-throughput ML systems, ensuring reliability and performance in production environments.