Machine Learning Engineer (Post-Training) job opportunity at Blue Yonder, Inc..

Home Jobs In France Tag: Job Machine Learning Engineer (Post-Training) position at Blue Yonder, Inc.


DatePosted 18 Days Ago bot
Blue Yonder, Inc. Machine Learning Engineer (Post-Training)
Experience: General
Pattern: full-time
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degreeGeneral
loacation Paris, France
loacation Paris....France

Machine Learning Engineer – Post-Training , AI Studio   About the AI Studio   The AI Studio's mission is to find the fastest possible path to an autonomous supply chain.   We're   developing AI agents, learning systems, training models, and more to overcome the biggest challenges   remaining   in the global supply chain.   In short, we are having a lot of fun.   Your mission in this role   We're   looking for an ambitious Machine Learning Engineer specializing in   Post-Training   to work on environments, evaluations, data pipelines, and tooling for robust training systems.   Your work will directly   impact   how our agents learn to make decisions in complex supply chain environments.   You'll   help shape how we approach reward modeling, environment design, and agent training.   This role blends research and engineering.   You'll   implement novel approaches and contribute to our research direction while shipping production-grade systems. If   you're   energized by pushing the boundaries of   what's   possible, this is your chance.   Responsibilities   Design and implement post-training environments for supply chain decision-making   Create evaluation frameworks to measure agent performance and catch failure modes   Build data pipelines for training and human feedback collection   Optimize   training infrastructure for throughput, efficiency, and fault tolerance   Debug complex issues in training pipelines and model behavior   Collaborate with the team to translate research ideas into reliable systems   Document what works (and what   doesn't ) so we can compound our learnings   Stay on top of industry trends and   cutting edge   use cases   We want to talk if you   Have trained or fine-tuned LLMs for agents with SFT/DPO   Are proficient in Python ,   PyTorch   and HF Transformers   Can balance research exploration with shipping working code   Are comfortable working with large datasets and building data pipelines at scale   Thrive in fast-moving environments where priorities shift   Are excited about AI-assisted tools and getting the most out of them   Can balance research exploration with shipping working code   Care about craft in your work   Have a deep sense of curiosity and make a habit of learning   Think globally about how your work   impacts   the entire organization   Bonus points if   Have hands-on experience with RL techniques (reward shaping   and design ,   PPO, GRPO and other   RLHF   approaches )   Have experience with distributed training systems and techniques (DDP, FSDP, N-D parallelism)   You have experience with human-in-the-loop ML systems   You've   built evaluation frameworks for open-ended tasks   You're   familiar with supply chain,   logistics , or operations domains   You have experience with Kubernetes and cloud infrastructure (AWS, GCP)   You've   worked on reward hacking detection or robustness problems   You have a side project that shows you   can't   stop tinkering       We are looking forward to hearing from you!   Please submit applications and resumes in english. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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