Machine Learning Engineer - LLMs
About the role
The Role: Copilot is our system for automating Design for Manufacturing (DFM) analysis and generating manufacturing processes. We work directly with some of the best operators in the world to identify high-impact opportunities to automate and augment with software. Our team owns problems end-to-end: we design the software, define the manufacturing processes, and ensure they can be executed reliably in our factories.
Responsibilities
- Research, develop, and deploy fine-tuned language models for document classification, key information extraction, table parsing, and multi-page/document reasoning
- Work alongside the core engineering team to build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies
- Develop evaluation frameworks that extend beyond accuracy and CER, precisely quantifying system behavior and user impact
- Collaborate with the other members of the machine learning team to set the technical and product roadmaps for the AI platform
- Burn down the long tail, as every percentage point of accuracy maps to man-years of time savings at our scale
Requirements
5-8 years of professional AI/ML experience, with at least 2 years working directly with large language models (fine-tuning, RLHF/DPO, or pre-training), with special consideration for work with layout-aware models
Strong Python and PyTorch fluency: You've written custom training loops, loss functions, and data loaders from scratch when needed
Production deployment ownership: You've shipped models to production and have been responsible for endpoint and model health
MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally
Qualifications
You have a passion for manufacturing and believe that the industry needs better software
Previously worked in aerospace, defense, or manufacturing, and have experience working with manufacturing data
Published research, achieved SOA results on relevant benchmarks, or contribute to open-source frameworks
Prior experience working in a high-ownership startup environment
Skills
Compensation: For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience)
Benefits: Medical, dental, vision, and life insurance plans for employees, 401k, relocation support may be provided for certain situations, based on business need, flexible vacation policy, equity
Benefits
Medical, dental, vision, and life insurance plans for employees
401k
Relocation support may be provided for certain situations, based on business need
Flexible vacation policy
Equity
Pay
For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience)
Schedule
N/A