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Clera

Machine Learning Engineer (Mid-Level)

San Francisco
Salary
$140,000 annually
Level
Mid
Work type
On-site · San Francisco
Visa
Not offered

Open. First seen 15 October 2026.

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The team: Engineering HIRES STEADILY

This role is one of 246 open in Engineering. 180 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 (118 of 246), TypeScript (112 of 246), Python (103 of 246), React (92 of 246), Machine Learning (61 of 246), PostgreSQL (44 of 246), JavaScript (41 of 246)

OTHER ROLES ON THIS TEAM

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

About the role

About the Role

As a Machine Learning Engineer, you'll build and deploy production machine learning systems for an AI-powered recruiting platform. You'll work across the ML lifecycle, partnering with product and engineering to turn business needs into reliable models and features.

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.
  • Collaborate with product and engineering teams to develop ML solutions for business needs.
  • Monitor, debug, and optimize production model performance using 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

  • At least 3 years of professional experience in machine learning or software engineering, including hands-on production ML work and employment after graduation.
  • A completed degree and experience in a substantive ML role at a product company or startup.
  • Strong ML fundamentals, including model selection, evaluation, feature engineering, and validation.
  • Proficiency in Python and practical experience with TensorFlow, PyTorch, or scikit-learn.
  • Experience building and maintaining production ML pipelines, including preprocessing, serving, and monitoring.
  • Familiarity with MLOps and cloud tools such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
  • Experience with production A/B testing or experimentation, and comfort working in fast-moving environments.

Compensation & Benefits

Salary starts at $140,000 USD annually. Equity and visa sponsorship details were not provided.

Location

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

Other openings for this role

3 open postings for this role in San Francisco, first posted 3 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

See Machine Learning Engineer salaries in San Francisco →

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