5 hours ago
San Francisco, CA, USAMid Level / Senior
Responsibilities
- Design, build, and iterate on machine learning models for candidate-to-role matching and personalization.
- Translate product goals into scalable machine learning solutions with the founding team.
- Develop and maintain data pipelines for model training, evaluation, and deployment.
- Monitor production model performance and drive continuous improvements.
- Research and experiment with AI techniques relevant to talent matching and natural language understanding.
Requirements
- 3–7 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 machine learning models in production environments.
- Proficiency with modern machine learning frameworks such as PyTorch or TensorFlow.
- Familiarity with natural language processing techniques.
- Experience across the full machine learning lifecycle, from data preparation through model monitoring.
- Experience at a high-performing technology company or consulting environment is preferred.
- Comfort with ownership, ambiguity, and fast-paced small-team work.
Benefits
- Based in San Francisco, California.
- On-site or hybrid work arrangement at the San Francisco office.
Tech Stack
PyTorchTensorFlow