# Principal Machine Learning Engineer, Data Mining

Hiring organization: [Motional](https://career.thegoodapps.co/organizations/motional)

Canonical page: https://career.thegoodapps.co/jobs/4cfc017f-b5c4-44dd-965d-c8064d689f5a

Listed on Motional's own careers site. Applications go to them directly.

- Seniority: Lead / Staff / Principal
- Location: Boston, MA
- Remote: yes
- Salary: 240000 – 330000 USD per year

## Summary

This role leads the machine learning infrastructure that mines autonomous vehicle sensor data to find rare failure modes and edge cases. It's ideal for a principal-level engineer comfortable architecting massive-scale ML systems, mentoring small teams, and bridging technical work across multiple organizations at a driverless-car company moving toward commercial deployment.

_Our summary, not Motional's wording._

## Skills named

Agentic systems, Amazon Web Services (AWS), Machine Learning, Microsoft Azure, Model Compression & Quantization, Reinforcement Learning

## Required

- BS in Computer Science, Machine Learning, or related field, or equivalent professional experience
- 12+ years hands-on machine learning engineering experience
- Track record owning end-to-end ML system development from experiment through monitoring
- Exceptional technical maturity with proven impact on company direction
- Ability to solve complex ML infrastructure and production optimization problems others cannot
- Deep experience training large-scale models across distributed GPU clusters
- Demonstrated ownership of technical roadmap balancing competing objectives
- Ability to create clarity from ambiguous problems and define measurable progress
- Generalist ML expertise spanning model training, hardware-optimized deployment, and cloud ML orchestration
- Experience leading cross-team initiatives and mentoring engineers
- Strong written and oral communication skills

## Nice to have

- MS or PhD in Computer Science, Machine Learning, or related field
- Tech Lead Manager or direct people management experience with 2–3 engineer teams
- Background in autonomous driving, robotics, or real-time decision-making systems
- Experience in ML data mining, multimodal foundation models, or embodied AI
- Hands-on foundation model pretraining or post-training, data curation, SFT/RLHF, or evaluation design
- Model compression, knowledge distillation, parameter-efficient fine-tuning, or quantization experience
- Large-scale retrieval, search systems, or RL for reasoning experience
- Deep knowledge of enterprise model serving platforms and MLOps
- Experience building agentic pipelines or LLM-driven reasoning workflows
- Portfolio of publications, patents, or significant open-source contributions

Apply on Motional's site: https://motional.com/open-positions/?gh_jid=7779985003#/7779985003