Principal Engineer, Data & ML Infrastructure

🕒 August 5

🍂 Massachusetts, Pennsylvania – Remote

🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $200k - $275k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• Lead a diverse team of engineers delivering critical software for autonomous vehicle ML models and software. • Research and develop large-scale data warehousing and analysis. • Own large-scale data analysis workflows identifying unexpected impacts of changes to ML models and software. • Build high-quality datasets for ML product training and edge-case validation. • Provide statistical analysis of model performance and generalization through rigorous error and change analysis. • Provide technical leadership and mentorship, fostering collaboration and continuous improvement. • Manage project timelines, resources, and deliverables. • Collaborate with perception and ML teams to develop metrics and analyze results. • Develop the full stack, including AWS Kubernetes orchestration, ReSimulation, model metrics, regression reports, and deep-dive analysis UIs.

🎯 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 leading a small, diverse 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 is a bonus. • Experience with AWS, Google Cloud, or Azure is a bonus. • Experience with machine learning in autonomous driving is a bonus. • Publications or contributions to the AI/ML community are a bonus.

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) with company match • Health savings accounts • Life insurance • Pet insurance • Additional benefits may be available • Bonus or company equity may be included as additional compensation