Clera

Machine Learning Engineer (Mid-Level)

San Francisco
Level
Mid
Work type
On-site · San Francisco

Not stated in the posting: salary, visa.

Open. First seen 7 November 2026.

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About the role

About the Role

Build and deploy production machine learning systems in a fast-moving product environment. You will own work across the ML lifecycle, partnering with product, engineering, and domain experts to deliver models that address real business needs.

What You'll Do

  • Design, train, and evaluate machine learning models for production use cases.
  • Build end-to-end ML pipelines, from data preprocessing through model serving and monitoring.
  • Work with product and engineering partners to turn business requirements into ML solutions.
  • Debug and improve production model performance using monitoring data and real-world feedback.
  • Write maintainable code and contribute to ML infrastructure and tooling.
  • Participate in code reviews and share technical knowledge with teammates.

What We're Looking For

  • At least 3 years of professional machine learning or software engineering experience, including hands-on ownership of production ML systems in a startup or fast-moving product environment.
  • Strong ML fundamentals, including model selection, evaluation, feature engineering, and validation.
  • Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn.
  • Experience implementing production ML pipelines that cover data preprocessing, model serving, and monitoring.
  • Experience deploying and maintaining ML systems at scale with tools or platforms such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
  • Experience with production A/B testing or experimentation frameworks, and optimizing models based on results.
  • A completed university degree and professional employment experience after graduation.
  • Ability to work through ambiguity and prioritize practical impact in a dynamic environment.

Location

On-site in San Francisco, California.

What this role asks for

Standard for data science / ML roles

Machine Learning · PyTorch · Python

Common in data science / ML postings at any company.

Compared with Clera's other open jobs.

The team: Engineering HIRES STEADILY

This role is one of 349 open in Engineering. 217 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (169 of 349), TypeScript (163 of 349), React (137 of 349), Python (134 of 349), Supabase (69 of 349), PostgreSQL (68 of 349), Machine Learning (64 of 349)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

Posting history

Reposted once since 3 October 2026: a posting for this role in San Francisco was taken down and the role was posted again.

See Machine Learning Engineer salaries in San Francisco →

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