Model Training Jobs
Browse 13 exciting jobs hiring in Model Training now. Check out companies hiring such as RippleMatch Opportunities, UpGuard, Sonar in Lincoln, Chandler, Colorado Springs.
Work remotely as a part-time Machine Learning Engineer at Mercor to design and implement ML experiments, convert problems into agent tasks, and improve model performance and training speed for real research workloads.
Lead the design and rollout of lifecycle frameworks, enablement curricula, and renewal playbooks that increase product adoption and revenue retention for UpGuard’s growing B2B SaaS customer base.
Lead technical deployments and integrations of Sonar’s ML and LLM solutions for strategic enterprise customers as a Forward Deployed ML Engineer focused on production reliability, performance, and security.
Lead Visa Research's generative AI strategy and team to advance cutting-edge GenAI models, agents, and privacy techniques and deliver real-world impact across payments and commerce.
Work at the intersection of research and engineering to run, debug, and improve large-scale training and reinforcement learning methods for cutting-edge language models at humans&.
Lead the architecture and delivery of scalable, compliant AI/ML platforms and GenAI systems as the Principal AI/ML Platform Engineer for a fast-moving, US-based organization.
Abridge is hiring a Head of AI Platform to lead the team building scalable, secure ML infrastructure and model-serving systems that power its generative-AI healthcare products.
An ML Researcher role at Prima Mente to develop and evaluate large-scale biological foundation models that translate into real clinical and mechanistic insights across neuroscience and complex disease.
NVIDIA seeks a Principal Product Manager to lead AI training and post-training frameworks, building SDKs and tools that maximize large-scale model performance on NVIDIA GPUs.
Oumi seeks a Research Scientist to advance open-source LLM and VLM research by developing models, datasets, benchmarks, and publishing results with the community.
Lead the architecture and execution of a high-throughput, low-latency ML and simulations platform that enables large-scale model training, inference, and simulation-driven product development.
Lead development of production-grade large-scale ML and deep learning models at a remote-first AI company, turning research innovations into scalable product solutions.
Early-career ML Operations / Full Stack engineer to help design, deploy, and optimize scalable model serving and training infrastructure for Abridge’s AI-driven healthcare platform.
