PPO Jobs

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence. These robots are engineered to perform a variety of tasks in both home and commercial markets. We are seeking a Reinforcement Learning Engineer to focus on the development, training, deployment, and evaluation of advanced reinforcement learning algorithms specifically for the whole-body control of our humanoid robots.

$150k - $350k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure, from data and model training to production deployment. This role focuses on the infrastructure for large-scale AI training and model post-training capabilities, specifically for frontier model improvement. The work involves distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. The Senior Machine Learning Engineer will own ML work end-to-end, translating ambiguous goals into concrete experiments, implementing and debugging training and RL recipes, building supporting systems, and delivering measurable improvements in model quality, throughput, and reliability. This is a hands-on role requiring independent debugging of both model behavior and distributed training failures.

$195k - $262k

Together AI

As a Forward Deployed Engineer (FDE) focused on Post-Training, you will be a hands-on technical partner to strategic customers who are using fine-tuning and reinforcement learning to build differentiated models on open-source foundations. You will work alongside Solutions Architects as the deep-domain specialist in post-training, guiding customers through data strategy, algorithm selection, experiment design, and evaluation, and sizing the compute required. Your role is crucial in ensuring the successful delivery of post-training Proofs of Concept (POCs), driving adoption of the fine-tuning and RL platform, and translating customer goals into measurable improvements in model quality. This position directly impacts customer success, company growth, and the enhancement of our core platform.

$270k - $300k

Handshake is seeking a Member of Technical Staff, Post-Training to help define and build a new organization focused on advancing the AI economy by organizing expert human knowledge. This role involves working directly with frontier labs on data, evaluation, and post-training challenges, building systems that transform expert knowledge into data and evaluations to improve frontier models. You will partner with researchers, domain experts, and customers to translate ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products. As an early member, you will have significant influence over the technical direction, operating culture, and reusable systems built.

$200k - $350k

Labelbox is building the critical infrastructure for breakthrough AI models, focusing on data-centric approaches. We offer integrated solutions for frontier AI development, including an Enterprise Platform & Tools for scalable data annotation, a Frontier Data Labeling Service with specialized expertise, and an Expert Marketplace connecting AI teams with skilled annotators. We operate in a high-impact, fast-paced environment that rewards ownership, technical excellence, and continuous learning. This role is central to advancing frontier agent capabilities, bridging the gap between training and infrastructure by building the systems that run experiments, including environments, verifiers, and fine-tuning pipelines. We seek engineers with strong judgment who can set technical direction, build reliable systems quickly, and are at the forefront of agent-first engineering practices.

$250k - $280k