Machine Learning Engineer at Bespoke Labs
About the role
Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so …
Interview process at Bespoke Labs
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Bespoke Labs interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.