Machine Learning Engineer

Role details

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.