---
title: "Machine Learning Engineer"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-machine-learning-engineer-a0169ca2-ba1b-4699-b2ef-e18fa2e707fd"
apply_url: "https://jobs.ashbyhq.com/clera/fdaaf7ce-18c7-49e1-9414-182687c0f19f"
workplace: onsite
location: "San Francisco"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: united-states
skills: ["aws", "docker", "gcp", "kubernetes", "python", "pytorch", "tensorflow"]
date_posted: 2026-09-20T10:44:38.409Z
first_seen_by_remjobs: 2026-09-20T10:47:59.143Z
---

# Machine Learning Engineer

**Clera** · San Francisco

Apply: https://jobs.ashbyhq.com/clera/fdaaf7ce-18c7-49e1-9414-182687c0f19f

## About Clera

Stop applying to startups. Start getting introduced. Clera connects you directly with hiring managers at the companies you want to work for.

## About the role

##### 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.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-machine-learning-engineer-a0169ca2-ba1b-4699-b2ef-e18fa2e707fd