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
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Design, build, and iterate on machine learning models that power candidate-to-role matching and personalization.
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Work closely with the founding team to translate product goals into scalable ML solutions.
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Develop and maintain data pipelines to support model training, evaluation, and deployment.
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Monitor model performance in production and drive continuous improvements.
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Contribute to research and experimentation on new AI techniques relevant to talent matching and natural language understanding.
What We’re Looking For
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3 to 7 years of hands-on experience in machine learning engineering or a closely related role.
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Strong fundamentals in computer science, statistics, or a related quantitative field.
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Proven experience building and deploying ML models in production environments.
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Proficiency with modern ML frameworks such as PyTorch or TensorFlow, and familiarity with NLP techniques.
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Comfort working across the full ML lifecycle, from data preparation through to model monitoring.
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Experience at a high-performing technology company or consulting environment is a plus.
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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.