Are you an AI Research Engineer expert in training custom AI?
Join Reply
WHO WE ARE
Reply is a network of highly specialized companies which support leading industrial groups in defining and developing business models using new technology and communication paradigms, such as Big Data, Cloud Computing, Digital Communication, Internet of Things, Mobile and Social Networking. Reply focuses on Consultancy, System Integration and Application Management, covering three areas of competence: Processes, Applications and Technologies.
WHAT YOU WILL FIND
• Core activities. You will design synthetic dataset generation pipelines from task descriptions, teacher-student distillation or production traces. You will build auto-research harnesses using AI coding to navigate the design space across recipes, architectural design, dataset mixes and ablations. You will run post-training workflows, with a focus on RL and agentic reasoning, either via RL and distillation, on custom RL environments across domains for professional use on the Pareto frontier.
You will schedule jobs on a distributed cluster across local compute and cloud compute and optimize serving confiturations either for online RL, evaluation or synthetic generation. You will share the core insights of your work via blog posts, open-source repositories, and on model and dataset hubs, like Hugging Face.
• Tech & tools stack. You will work with cloud compute clusters (Lambda, Nebius, AWS, GCP), local compute clusters (NVIDIA DGX), AI workload managers (SkyPilot), RL environments and stack (NeMo-RL, SkyRL, TRL), synthetic dataset generation pipelines (DataFlow, DataTrove), experiment trackers (MLflow), model and dataset hubs (Hugging Face Hub), evaluation metrics and environments (LM Evaluation Harness), kernels (Triton), serving (vLLM, Speculators)
• Mentoring, collaboration, and continuous growth. You will collaborate with a young, dynamic team of engineers and scientists in a hybrid setup. You will participate in code rev
📌 AI Research Engineer (Torino)
🏢 Reply
📍 Torino