Senior ML Engineer, Production-Scale & Impact

Hive; San Francisco (CA); On-site; USD 160,000 - 250,000; Full time

Job summary

Deploy is seeking a Senior Machine Learning Engineer to push ML models from prototype to production at scale in San Francisco. You will design, train, and deploy models on terabyte-scale datasets, building robust data pipelines and scalable backend integrations.

The role emphasizes ownership, high code quality, automated testing, and collaboration with cross-functional teams to advance our AI platform.

Qualifications

• Bachelor's degree in CS or related field required.
• Minimum 5 years building production-scale ML models.
• Solid experience with PyTorch or TensorFlow.
• Proficient in Python and shell scripting.
• Experience with distributed systems and data pipelines.
• Strong ability to trade off features and scope.

Responsibilities

• Apply ML models to production use cases from design to deployment.
• Develop scalable, secure code shared across platforms.
• Contribute to backend systems and product improvements.
• Improve engineering standards, tooling, and security.
• Develop novel ML algorithms for large-scale use.
• Conduct metric-driven experiments to boost performance.
• Mentor and onboard junior ML engineers.
• Collaborate cross-functionally with other teams.

Skills

5+ years production ML

lead end-to-end development

data pipelines

ability to trade off features

secure coding practices

interpersonal skills

Education

Bachelor's Degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Python

Shell scripting

Job description

Deploy is seeking a Senior Machine Learning Engineer to push ML models from prototype to production at scale in San Francisco. You will design, train, and deploy models on terabyte-scale datasets, building robust data pipelines and scalable backend integrations.

The role emphasizes ownership, high code quality, automated testing, and collaboration with cross-functional teams to advance our AI platform.