Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff ML Engineer, Agent Training & Environments”. A match may be a passing mention rather than the job itself. Titles only.
245 roles · group by role · page 1 of 10
…We build the data, environments, and evaluations that frontier labs use to train and judge their agents. This role sits where training meets infrastructure…
…Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. Train customer engineering and business…
…You don't need an ML background — but you should find it interesting to turn fuzzy agent behavior into a signal engineers are willing…
…About the role We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic…
…Engineering Strength: Strong production-level coding skills in Python and deep learning frameworks (like PyTorch or JAX). ML & LLM Expertise: Hands-on experience training…
…As a Staff Engineer, you will own the technical roadmap for our ML platform. You will build the robust infrastructure, MLOps tooling, and systems…
…Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Have…
…a secure, customizable environment where companies can use AI across their real workflows while maintaining control over sensitive data. North connects AI agents with…
…of experience with prompt engineering and prompt/agent scripting 2 years of hands-on experience integrating third-party AI/ML services and platform APIs…
…As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that…
…you are capable of using AI tools and delivering directly in customer sandbox environments. You drive the architectural decisions that downstream teams (customer engineering…
AWS Agentic AI is looking for a Principal Applied Scientist who will partner with world-class scientists and engineers to pioneer the next generation…
…We are building security products that enable organizations to adopt AI applications and agents safely and at scale. As a Staff Software Engineer, you…
…actually act on. - GPU and ML infrastructure exposure: GPUs, inference serving, or distributed training. - AI-assisted operations: Building agents or LLM-based tooling for…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every…
…APIs, SDKs, internal platforms, ML infrastructure — products whose users are engineers. - You've shipped something agentic or model-backed into production. You understand evals…
…for software engineers who want to define what ships next. Leveling is broad and flexible: we're hiring from Senior through Staff+, across platform…
…and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.). - Research, implement…
…you are capable of using AI tools and delivering directly in customer sandbox environments. You drive the architectural decisions that downstream teams (customer engineering…
…Mentor interns, junior researchers and engineers, fostering collaboration, growth and excellence in a dynamic R&D environment. Lead efforts in transitioning research into production…
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML…
…AI, or scientific ML - Hands-on experience training large-scale models (vision, language, or multimodal) with distributed compute - Strong software engineering fundamentals: system design…
…control agents. Deep understanding of model efficiency and deployment trade-offs in production environments. Experience with multi-modal foundation models. Experience developing ML systems…
…ABOUT THE ROLE - Build systems that transform powerful pre-trained models into aligned and general agents. - Drive research and engineering initiatives that push the…
…ABOUT DEEPTUNE Deeptune is an RL environments lab within Mercor. We build training gyms for AI agents — high-fidelity simulations where models learn to…