Hiring: Research Engineer Company: AfterQuery Location: San Francisco, CA Job Posted Time: 2026-09-02 18:06:03 Target Skills & Keywords : Fine-tuning, HBase, LLM, Machine Learning, Make, OpenAPI, PyTorch, Python About the job Experience: •2 years of professional experience in machine learning engineering, research engineering, ML infrastructure, or a closely related field; 2-4+ years preferred. •At least 2 years of professional experience in machine learning engineering, research engineering, ML infrastructure, or a closely related field; 2-4+ years preferred. Required Skills: •Design and build our post-training infrastructure for SFT, RL and evaluation workflows. •Build reliable pipelines for data preparation, dataset versioning, sampling, training, checkpoint management, and evaluation. •Develop experiment orchestration and tracking systems that make runs reproducible, comparable, and easy to debug. •Create reusable abstractions that allow researchers to launch experiments quickly across datasets, models, and training recipes. •Integrate our systems with partner-lab training stacks, model APIs, compute environments, and evaluation infrastructure. Qualifications: •At least 2 years of professional experience in machine learning engineering, research engineering, ML infrastructure, or a closely related field; 2-4+ years preferred. •Strong Python and software-engineering skills. •Hands on experience with PyTorch, JAX, Ray, and Slurm. •Experience building production-quality ML training, evaluation, or data infrastructure. •Hands-on experience with LLM fine-tuning, post-training, and evaluation. •Ability to build reliable, reproducible systems for launching a Compensation: •$210,000 •$450,000 •$3 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!