RLAIF Jobs
6 open roles mentioning RLAIF
Senior Machine Learning Engineer, Model Training and Reinforcement Learning
Nebius
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
Staff/Senior Machine Learning Research Engineer, Intelligent Systems
Scale AI
Scale is seeking a Staff Machine Learning Research Engineer to join the Applied Intelligence Systems (AIS) team, which is part of the Scale Generative AI Platform. This role focuses on advancing agentic AI applications for enterprise and government use cases. You will work across the full spectrum of technical challenges within AIS, contributing to areas such as model training and fine-tuning, designing evaluation systems, building improvement loops from production data, prototyping novel agent architectures, and developing internal tooling. This is a hands-on research and engineering position where you will write code, ship production systems, and set the AI/ML technical direction for the team, influencing methods, architectures, and standards for others.
$250k - $350k
Forward Deployed Researcher - Data as a Service
Snorkel AI
Snorkel AI is seeking Forward Deployed Researchers to partner with frontier AI labs on challenging data problems. This customer-facing role requires deep technical and research expertise to help design complex data and environments that enhance frontier model performance. You will act as a thought partner, working at the intersection of research, technical strategy, and customer collaboration. Your responsibilities will include scoping training data needs, designing RL environments, developing evaluation frameworks, analyzing model behavior, and translating customer objectives into technical plans.
$160k - $400k
Research, Finetuning Science
Thinking Machines Lab
At Thinking Machines, we build tools that empower individuals to customize AI models for their specific needs, including the ability to train model weights. In this role, you will focus on frontier customization techniques and contribute to developing a leading post-training engine called Tinker. Your work will involve a comprehensive understanding of Reinforcement Learning (RL) science, and your findings will directly influence Tinker's training defaults, API design, and the open-source Tinker Cookbook. You will collaborate with internal research teams and contribute to open science initiatives for external partners.
$350k - $475k
Research Lead, Tinker, Fine-tuning Science
Thinking Machines Lab
Thinking Machines is building AI that extends human will and judgment, with a focus on training frontier models and developing tools that allow users to customize AI for their unique needs. This role leads the Fine-tuning Science team, focusing on frontier customization techniques and the Tinker post-training engine. It's a player-coach position where you will remain hands-on with scientific research while also guiding the team, shaping its direction, and ensuring research findings are integrated into Tinker. You will collaborate with internal research teams, contribute to open science, and engage with external users.
$350k - $475k
Member of Technical Staff, Alignment
Abundant
Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. As a Member of Technical Staff, Alignment, you will be instrumental in ensuring that alignment is a core component of all our work, from the code we deploy and the runbooks we write to the papers we publish. This role involves testing models in advanced environments, identifying and mitigating potential risks like reward hacking and deception, and building robust tools to monitor and secure AI agents.
$250k - $450k
