- Scale AI (San Francisco, CA)
- …Machine Learning Systems Research Engineer to optimize and develop their training frameworks for next-generation AI models. Ideal candidates will have 1-3 years ... of LLM training experience, strong software engineering skills, and advanced degrees in Computer Science. This full-time position offers a competitive salary range… more
- Scale AI (New York, NY)
- …company in New York is hiring a Machine Learning Research Engineer to develop next-gen training algorithms and optimize ML systems . The ideal candidate will ... possess strong software engineering skills and experience with large language models and related algorithms. This full-time role offers competitive compensation and generous benefits, including health coverage and a retirement plan. #J-18808-Ljbffr more
- Scale AI, Inc. (San Francisco, CA)
- … training platform. The role involves building and profiling frameworks, post - training state-of-the-art models, and collaborating with teams. Ideal candidates ... leading AI technology firm in San Francisco seeks an ML Sys Research Engineer to optimize algorithms for their...should have LLM training experience, strong software engineering skills, and a relevant… more
- Scale AI (New York, NY)
- …York is seeking a Staff Machine Learning Research Engineer to develop cutting-edge training platforms for enterprise clients. This role focuses on training ... sophisticated AI models, integrating advanced algorithms, and designing innovative multi-agent systems . Candidates should have over 5 years of relevant experience… more
- Scale AI, Inc. (San Francisco, CA)
- Machine Learning Research Engineer, Enterprise ML Systems Ready to Apply? Join the team shaping the future of AI at Scale. AI is becoming vitally important in ... doubling down on building out state of the art post - training algorithms to reach the performance necessary...training recipes for our enterprise engagements. Collaborate with ML teams to accelerate their research and development, and… more
- Parafin (San Francisco, CA)
- …Looking For 5+ years of software engineering experience, including experience on ML platform/MLOps systems ( training , deployment, and/or feature pipelines). ... This role is critical to building reliable, scalable, and developer-friendly systems for model experimentation, training , evaluation, inference, and retraining… more
- Genies (San Francisco, CA)
- …the visual and interactive layer for the LLM-powered internet. Genies is looking for a ML Infra and Model Optimization Engineer to join our R&D team. Based either in ... of digital identity. What You'll be Doing Design, build, and maintain production-grade ML infrastructure for image and 3D generative models. Develop and own backend… more
- Snorkel AI (San Francisco, CA)
- …long‑running reasoning and verification tasks. The Evaluation Engineering team owns critical systems for building high‑quality post ‑ training and benchmark ... or Redwood City. Required Qualifications 4+ years experience in delivering AI/ ML systems and services in a production setting for cloud‑native applications.… more
- Genesis Therapeutics (Burlingame, CA)
- …areas like reinforcement learning, novel model architectures, and advanced pretraining and post - training methods. Your core mission is to create groundbreaking ... ML Research Scientist, Foundation Models (Senior / Staff...implementation, tackling core challenges in generative modeling for molecular systems . Design and develop novel models and algorithms, building… more
- Amazon (San Francisco, CA)
- …pipelines and scripting (Python, shell) for algorithm validation Understanding of ML training /inference workloads and their performance characteristics Takes ... Firmware Engineer, Annapurna Labs, ML Acceleration - Performance Instrumentation & Developer Tools AWS Utility Computing (UC) provides product Annapurna Labs (our… more
- The Goldman Sachs Group (Menlo Park, CA)
- …preferred. 3+ years designing, architecting, testing, and launching production ML systems , including model deployment/serving, evaluation and monitoring, ... TEAM OVERVIEW The Machine Learning and Artificial Intelligence team in PRX applies advanced ML and GenAI to reduce the risk and cost of operating the firm's… more
- The Rundown AI, Inc. (San Francisco, CA)
- …long running reasoning and verification tasks. The Evaluation Engineering team owns critical systems for building high quality post - training and benchmark ... or Redwood City Required Qualifications 4+ years experience in delivering AI/ ML systems and services in a production setting for cloud-native applications… more
- Snorkel AI (San Francisco, CA)
- …long running reasoning and verification tasks. The Evaluation Engineering team owns critical systems for building high quality post - training and benchmark ... or Redwood City Required Qualifications 4+ years experience in delivering AI/ ML systems and services in a production setting for cloud-native applications… more
- Menlo Ventures (Burlingame, CA)
- …areas like reinforcement learning, novel model architectures, and advanced pretraining and post - training methods. Your core mission is to create groundbreaking ... support and champion your efforts to publish some research breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR. Positions are available at various… more
- Goldman Sachs Bank AG (Menlo Park, CA)
- …preferred. 3+ years designing, architecting, testing, and launching production ML systems , including model deployment/serving, evaluation and monitoring, ... production management services and workflows. Responsibilities Build agentic AI systems : Design and implement tool-calling agents that combine retrieval, structured… more
- Goldman Sachs (Menlo Park, CA)
- …preferred. 3+ years designing, architecting, testing, and launching production ML systems , including model deployment/serving, evaluation and monitoring, ... Join to apply for the Engineering-L2- Menlo Park-Vice President-AI / ML Engineering role at Goldman Sachs WHO WE ARE Goldman Sachs is a leading global investment… more
- Scale AI (San Francisco, CA)
- Machine Learning Systems Research Engineer, Agent Post - training - Enterprise GenAI AI is becoming vitally important in every function of our society. At ... doubling down on building out state of the art post ‑ training algorithms to reach the performance necessary...training recipes for our enterprise engagements. Collaborate with ML teams to accelerate their research and development, and… more
- HumanSignal (San Francisco, CA)
- …on this job and more exclusive features. The future of AI - whether in training or evaluation, classical ML or agentic workflows - starts with high-quality data. ... Join to apply for the Solutions Architect ( Post Sales) role at HumanSignal 2 days ago...and help architect integrations between Label Studio and customer AI/ ML workflows, pipelines, storage, and enterprise systems .… more
- Scale AI, Inc. (San Francisco, CA)
- …investment from Meta, we are doubling down on building out state of the art post - training algorithms to reach enterprises around the world. The Enterprise ML ... all of our enterprise clients. As a Staff Agent Post - Training MLRE, you will build out our...training stack. Design solutions that enable complex multi-agent systems to directly learn from both process + outcome… more
- P-1 AI (San Francisco, CA)
- …in our LLM training stack About You 3+ years working with large‑scale ML systems or training pipelines Deep familiarity with PyTorch, especially ... platforms as well. You'll work closely with researchers and ML engineers developing new models and agentic systems...Slurm, Ray, or Kubernetes clusters Past contributions to open‑source ML training frameworks Exposure to model scaling… more
