Sr Software Engineer - ML Infrastructure

Job Description

Build reusable ML frameworks, distributed execution capabilities, and developer tools for model development, training, evaluation, and simulation across CPU and GPU infrastructure. Own production systems from design through rollout and operations, improve performance and reliability, and collaborate with modeling and platform teams.

Requirements: Requires at least six years of software engineering experience, strong Python skills, and experience with distributed systems and production ML workflows. Candidates should understand performance fundamentals, deliver systems through production operations, communicate technical tradeoffs, and have a bachelor's or master's degree in computer science, engineering, or equivalent practical experience.

Key Skills: Python, Machine Learning Infrastructure, Distributed Systems, Distributed Computing, Model Training, Batch Inference, Model Evaluation, Workflow Orchestration, Performance Profiling, GPU Optimization, CPU Optimization, Hyperparameter Tuning, Experiment Tracking, PyTorch, Ray, Production ML Workflows

Benefits: Bonus Program, Equity Awards, 401(k) Plan, Other Benefits