ML Engineer, Remote - Contract
Core
Develop, validate, and optimize machine-learning models, training pipelines, inference systems, and supporting infrastructure for an AI training project.
Role type
Senior IC machine-learning engineer (systems & optimization)
Builds
Production ML models, training workflows, and inference systems
Domain
Artificial Intelligence / Machine Learning Engineering
Deliverable
production ML models
Required skills
Python, model training, numerical computation, debugging ML systems, reproducible workflows, performance optimization, tensor operations, automatic differentiation
Preferred skills
Experience at well-established tech company, AI lab, or research organization; exceptional open-source or academic experience
Technologies
PyTorch, JAX, NumPy, SciPy, SGLang, vLLM, llama.cpp, Hugging Face Transformers, Hugging Face Tokenizers
Responsibilities
Implement model components and data pipelines; optimize training/inference for latency, throughput, and memory; diagnose numerical instability and system failures; review AI-generated code for correctness and efficiency; design objective tests and benchmarks.
Seniority
Senior, hands-on IC