Machine Leraning Engineer
Stealth Startup - San Francisco, CA
Hiring: Machine Leraning Engineer Company: Stealth Startup Location: San Francisco, CA Job Posted Time: 2026-09-17 03:33:15 Employment Type: Remote Target Skills & Keywords : C++, Deep Learning, Fine-tuning, LLM, MLOps, Machine Learning, PyTorch, Python, RAG, Rust, Transformers About the job Experience: •3+ years of Machine Learning or Applied AI experience Required Skills: •We are seeking a highly motivated Machine Learning Engineer to build production-ready AI systems that power automated code review and developer productivity. You'll work across the complete ML lifecycle—from research and data preparation to model training, evaluation, deployment, and inference optimization. •This is an ideal opportunity for engineers who enjoy combining LLMs, deep learning, software engineering, and systems thinking to solve real-world problems. •Design, train, and fine-tune Transformer and LLM-based models for code understanding. •Build intelligent retrieval and RAG systems for large software repositories. •Develop datasets, benchmarks, and evaluation frameworks to measure model quality. •Deploy scalable ML models into production with reliable inference pipelines. •Optimize model performance using techniques such as LoRA, distillation, and quantization. •Partner cross-functionally with product and systems engineers to ship AI features used by developers worldwide. Qualifications: •Rust, C++, CUDA, or systems programming •Research publications (NeurIPS, ICML, ICLR) •Experience building developer tools or code intelligence products •Distributed training and large-scale ML infrastructure •Remote? ❌ No — On-site in San Francisco. Compensation: •Flexible work environment (work from home / hybrid options) 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!