Machine Learning Engineer
Must-have:AIHybrid
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.