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Principal Engineer, Data & ML Infrastructure

4 months, 4 weeks ago
United States
Full-time
Lead
Machine Learning Engineer
DevOps and Infrastructure
AWS Azure GCP Kubernetes Machine Learning Python
Apply Now
Motional

Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive
1K-5K
Founded 2020
$20M raised
View All Jobs 19

Description

  • Lead a team of engineers to deliver critical software supporting autonomous vehicle ML model development.
  • Research and develop new large-scale data warehousing and analysis capabilities.
  • Own large-scale data analysis workflows that identify unexpected impacts from planned and unplanned ML and software changes.
  • Build high-quality datasets to improve ML products through training and edge-case validation.
  • Provide statistical analysis of model performance and generalization through rigorous error and change analysis.
  • Develop tools for root cause analysis, safety consideration, regression reporting, and deep-dive analysis.
  • Collaborate with perception and ML teams to develop metrics and analyze results.
  • Provide technical leadership and mentorship while fostering collaboration and continuous improvement.
  • Manage project timelines, resources, and deliverables to ensure successful execution.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Excellent leadership, communication, and problem-solving skills.
  • Proven record of leading a small, diverse, dedicated team supporting a large user base.
  • Experience in machine learning, data mining, and statistical analysis.
  • Proven experience developing and deploying large-scale cloud frameworks.
  • Strong programming skills in Python.
  • Experience with large-scale data processing and distributed computing technologies.
  • Ph.D. in Computer Science or a related field (preferred).
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure (preferred).
  • Experience with machine learning in the autonomous driving domain (preferred).
  • Publications or contributions to the AI/ML community (preferred).

Benefits

  • Base salary range of $200,000 to $275,000 USD.
  • Additional compensation may include a bonus or company equity.
  • Medical, dental, and vision insurance.
  • 401(k) with company match.
  • Health savings accounts (HSA).
  • Life insurance.
  • Pet insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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