ML Engineer

Micro1 is seeking highly skilled Machine Learning Experts to join a specialized AI training project. This role focuses on advanced model development, training and inference systems, numerical computing, and performance optimization within a fully remote environment.

Key responsibilities

• Develop and validate machine-learning models, training pipelines, and inference systems.
• Optimize training and inference processes for latency, throughput, memory usage, and hardware utilization.
• Diagnose complex issues such as numerical instability, memory bottlenecks, and distributed-system failures.
• Review AI-generated code and technical solutions to ensure correctness, efficiency, and high engineering quality.
• Design objective tests, benchmarks, and verification criteria for model performance.

Requirements

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Strong professional or research experience in machine learning with deep proficiency in Python.
• Meaningful experience with at least two relevant ML frameworks or tools such as PyTorch, JAX, NumPy, or vLLM.
• Ability to debug ML systems beyond high-level API usage and explain complex implementation decisions.
• Experience building reproducible technical workflows and documenting trade-offs.

What we offer

• Fully remote work with a flexible schedule that allows you to choose your own hours.
• Opportunity to work on challenging, high-impact machine learning engineering tasks.
• Collaboration with a team of experienced researchers and engineers in a professional environment.