Clera

Mid-Level Machine Learning Engineer

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

Not stated in the posting: salary, visa.

Open. First seen 31 October 2026.

Apply on the company's site →

About the role

About the Role

Build and deploy machine learning systems for a fast-moving technology product team. You will own work across the ML lifecycle, from defining problems to monitoring models in production, partnering with product, engineering, and domain experts to deliver useful outcomes.

What You'll Do

  • Design, train, and evaluate machine learning models for production use cases.
  • Build end-to-end ML pipelines spanning data preprocessing, model serving, and monitoring.
  • Work with product and engineering partners to turn business needs 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 knowledge with teammates.

What We're Looking For

  • A completed university degree and at least 3 years of professional experience in machine learning or software engineering, including post-graduation employment.
  • Hands-on experience building and deploying production ML systems in an ML engineering role at a startup or fast-moving product company.
  • Strong understanding of model selection, evaluation metrics, feature engineering, and validation techniques.
  • Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn.
  • Experience implementing and maintaining production ML pipelines, including preprocessing, model serving, and monitoring at scale.
  • Experience with MLOps tools or cloud platforms such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
  • Experience with production A/B testing or experimentation, and optimizing models based on observed performance.
  • Comfort working through ambiguity and iterating quickly in a product environment.

Location

On-site in San Francisco, California, United States.

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 206 open in Engineering. 140 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 (99 of 206), TypeScript (90 of 206), Python (87 of 206), React (76 of 206), Machine Learning (48 of 206), JavaScript (37 of 206), PostgreSQL (36 of 206)

OTHER ROLES ON THIS TEAM

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

See Machine Learning Engineer salaries in San Francisco →

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