ML Engineer
Catalyst LabsSunnyvale, California, United States • New York, New York, United States
Posted March 4, 2026
Full Time
About the Company
Catalyst Labs specializes in talent acquisition for technology‑driven organizations, with a particular focus on machine learning, artificial intelligence, deep learning, data science, and data analytics roles. By combining industry‑grade market insights with a consultative approach, the firm streamlines hiring pipelines, turning traditionally slow processes into fast, engaging experiences for both clients and candidates. Catalyst Labs distinguishes itself through a data‑driven recruitment methodology that aligns candidate expertise with business growth objectives, ensuring that every placement drives measurable impact. The company’s collaborative culture and commitment to continuous innovation make it an attractive partner for forward‑thinking firms and ambitious professionals alike.
Job Description
Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 1-6 years of professional experience in ML engineering.
- Strong programming skills in Python (TypeScript experience is a plus).
- Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
- Familiarity with cloud environments and infrastructure (preferably AWS).
- Strong understanding of data pipeline design, real-time inference, and model monitoring.
- Excellent communication skills with the ability to engage directly with customers and stakeholders.
Benefits
- Above market base + bonus + equity