ML Engineer / Data Scientist

NITLab; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

NitLab is hiring a talented ML Engineer/Data Scientist in the United States to optimize production ML models, with a focus on recommendation systems and scalable inference.

The role requires strong Python and ML framework skills. You will work on turning prototypes into reliable services, collaborating across teams and leveraging PyTorch and Kubernetes to support offline and online evaluation of models.

Qualifications

• Strong Python programming skills.
• Experience with production-grade ML models.
• Experience with recommendation systems preferred.

Responsibilities

• Optimize ML models for production environments.
• Improve inference performance and model quality for high-load applications.
• Collaborate with cross-functional teams to deploy scalable ML services.

Skills

Python

PyTorch

Kubernetes

Recommendation systems

Model optimization

Tools

Kubernetes

Job description

NitLab is developing high-load ML products impacting millions of users. This role focuses on optimizing ML models for production and requires experience with recommendation systems. Candidates with strong Python and ML framework skills should apply.

At NitLab, the ML Engineer/Data Scientist will be integral in transforming machine learning prototypes into scalable production services. The role emphasizes optimizing inference and maintaining model quality for high-load applications that serve millions of users.

The team operates with a compact structure, allowing each engineer to significantly influence product development. Candidates will work with a range of technologies including Python, PyTorch, and Kubernetes, and will be expected to engage with both offline and online model evaluation principles.