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Job Description

About the Role

This is a mid-level Machine Learning Engineer role at a small, fast-moving AI startup in the recruiting and talent-matching space. You will own the full ML lifecycle, from problem definition through production monitoring, working closely with product and engineering to ship models that directly drive business outcomes.

What You'll Do

  • Design, train, and evaluate machine learning models for production use cases.

  • Build end-to-end ML pipelines covering data preprocessing, model serving, and monitoring.

  • Partner with product and engineering teams to translate business requirements into ML solutions.

  • Debug and optimize model performance in production, iterating based on real-world feedback.

  • Write clean, maintainable code and contribute to ML infrastructure and tooling.

  • Participate in code reviews and share knowledge across the team.

What We're Looking For

  • 3 to 7 years of professional experience in machine learning or software engineering, with substantive hands-on applied ML work in production systems.

  • Demonstrated experience working in a startup or similarly fast-paced, resource-constrained environment with rapid iteration cycles.

  • Strong fundamentals in ML: model selection, evaluation, feature engineering, and validation.

  • Proficiency in Python and common ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Proven ability to build, deploy, and maintain ML systems at scale, not just academic or prototype work.

  • Experience with data pipelines, feature engineering, or model evaluation in production contexts.

  • Familiarity with cloud ML platforms or MLOps tooling (such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker) is a plus.

  • Experience with A/B testing, experimentation frameworks, or production model monitoring is a plus.

  • Comfort with ambiguity and a strong ability to prioritize impact in a dynamic setting.

Location

Based in San Francisco, California. Please confirm the specific work arrangement directly with the team.

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  • Role Machine Learning Engineer
  • Experience 3-4 years
  • Work type On-site
  • Location United States
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Clera
AI & Machine Learning · 500+ Members · United States

Clera is an AI recruiting platform that introduces candidates directly to hiring managers at the companies they want to work for.

All jobs at Clera

97 more Machine Learning Engineer roles in San Francisco

Job Overview

Approx. salary range

200K – 260K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 41 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
20 hours ago
Job Type
Full Time
Experience
3-4 years

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