About this opportunity
Selby Jennings lists this Post-Training Research Engineer opportunity in new york city, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Post-Training Research Engineer
NYC, hybrid
We're partnered with a highly technical, research-driven quantitative firm that's been investing heavily in next-generation AI capabilities and looking to add a Post-Training Research Engineer to a growing team at the intersection of machine learning research and large-scale systems.
In this role, you'll help advance the performance and behavior of state-of-the-art models through post-training techniques, large-scale experimentation, and reinforcement learning. You'll work alongside researchers and engineers tackling challenging problems in alignment, reasoning, evaluation, and model optimization.
What You'll Work On:
Post-training large language and foundation models
RLHF, DPO, preference optimization, and reward modeling
Model alignment and reasoning capabilities
Automated evaluation frameworks and benchmarking
Fine-tuning and large-scale experimentation
Distributed training and GPU-intensive workflows
Research that moves beyond papers and into production systems
Required:
BS or higher from a top-tier academic institution in Machine Learning, AI, Computer Science, Mathematics, Statistics, or a related field
Experience with post-training, RL / RLHF, DPO, reward modeling, alignment, and model evaluation
Strong hands-on experience with Python and PyTorch
Familiarity with distributed training frameworks and large-scale compute environments
Track record of publishing research and/or deploying advanced ML systems into production
Ability to bridge research and engineering
Target Background:
Candidates from frontier AI labs, leading research organizations, and teams building large-scale foundation models are especially relevant.
This is an opportunity to work on some of the most challenging problems in modern AI, with significant resources, compute, and long-term commitment behind the initiative.
Apply now if this sounds like a great fit!
*Applications remain confidential*
*No contractors*
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.