Machine Learning Engineer

Clera; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Clera is seeking a mid-level Machine Learning Engineer to design, build, and iterate on ML models powering candidate-to-role matching and personalization. You will work with the founding team to translate product goals into scalable ML solutions and develop data pipelines to support training, evaluation, and deployment.

You will monitor model performance in production and drive continuous improvements, while contributing to research on AI techniques for talent matching and NLP, in a fast-moving

Qualifications

• 3–7 years hands-on experience in machine learning engineering or closely related role.
• Strong fundamentals in computer science, statistics or related field.
• Proven experience building and deploying ML models in production.
• Proficiency with ML frameworks (PyTorch or TensorFlow) and NLP familiarity.
• Comfort with full ML lifecycle from data prep to monitoring.

Responsibilities

• Design, build, and iterate on ML models powering candidate-to-role matching.
• Collaborate with founding team to translate product goals into scalable ML solutions.
• Develop and maintain data pipelines to support model training, evaluation, and deployment.
• Monitor production model performance and drive continuous improvements.
• Contribute to research and experimentation on AI techniques relevant to talent matching and NLP.

Skills

ML systems

Production ML

NLP techniques

Data pipelines

Ownership

Model evaluation

CS fundamentals

Education

Bachelor's in CS/Math/Stats

Tools

PyTorch

TensorFlow

Job description

About the Role

We are a small, fast-moving AI-powered recruitment tech startup, and we are looking for a mid-level Machine Learning Engineer to help build and improve the core matching and recommendation systems that connect candidates with the right opportunities. This is a high-impact role at a company where your work will directly shape the product and the experience of thousands of job seekers and hiring teams.

What You'll Do

• Design, build, and iterate on machine learning models that power candidate-to-role matching and personalization.

• Work closely with the founding team to translate product goals into scalable ML solutions.

• Develop and maintain data pipelines to support model training, evaluation, and deployment.

• Monitor model performance in production and drive continuous improvements.

• Contribute to research and experimentation on new AI techniques relevant to talent matching and natural language understanding.

What We're Looking For

• 3 to 7 years of hands-on experience in machine learning engineering or a closely related role.

• Strong fundamentals in computer science, statistics, or a related quantitative field.

• Proven experience building and deploying ML models in production environments.

• Proficiency with modern ML frameworks such as PyTorch or TensorFlow, and familiarity with NLP techniques.

• Comfort working across the full ML lifecycle, from data preparation through to model monitoring.

• Experience at a high-performing technology company or consulting environment is a plus.

• A bias toward action, strong ownership mentality, and comfort with ambiguity in a small team setting.

Location

Based in San Francisco, California. This is an on-site or hybrid role at our San Francisco office.