Senior ML Systems Engineer – Distributed Training

A leading technology company is seeking a Machine Learning Engineer - Inference to design and implement distributed inference infrastructure. Candidates should have at least 7 years of experience in developing large-scale systems and contribute to open-source machine learning frameworks. The role offers a salary range of $208,800 - $616,000 annually,...

Chai Discovery in San Francisco is seeking a Senior AI/Data engineer to make large model training fast, stable, and cost efficient. You will work on training code from full models down to GPU kernels, keeping long runs healthy on large GPU clusters.A strong candidate has distributed training experience, performance profiling, and reliability work such as...

Pinterest is seeking a Sr. Staff Software Engineer for Product ML Infrastructure to shape the technical vision for model training and serving at scale.You will lead architectures for distributed training, fine-tuning, and high‑scale inference, and collaborate with Ads and Core AI/ML teams to productionize features at Pinterest scale. You will mentor...

ML Engineer — Distributed Training Systems（分散学習システム） 募集概要 Highlanders

About the TeamTraining Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we're building a unified, modular runtime that meets researchers where they are and moves with them up the...

Enigma is seeking a Machine Learning Engineer in San Jose, CA, to design and optimize scalable ML services. You will productize models from Research into reliable, cost-efficient deployments with clear SLOs, leveraging distributed training across GPUs and advanced optimization techniques.You will collaborate with ML Ops on CI/CD, telemetry, and model...

Reflection is a research lab focused on open, accessible AI, seeking an experienced engineer to build and scale distributed training systems for frontier model pre-training. You will work with researchers to operate large-scale runs across thousands of GPUs, optimizing throughput and efficiency while translating experiments into production-ready training...

Axiōma Search is seeking a skilled ML/AI engineer to advance post-training methods and reinforcement learning. You will bridge ML research and systems engineering to optimize training workflows and scale across GPU clusters.The role focuses on improving supervised fine-tuning and RL approaches, diagnosing performance bottlenecks, and ensuring robust model...

We are hiring one Member of Technical Staff to build the ML systems that make sustained AI research possible. This is a full-time position based in San Mateo, California.You will own performance-critical systems across model serving, GPU execution, and distributed research workloads. The work goes beyond deploying an inference engine: you will understand its...