Machine Learning Systems Engineer

Job not on LinkedIn

🔥 5 minutes ago

🎰 Nevada, Massachusetts, +1 more states – Remote

🎰 Nevada – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $144k - $192k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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

• Join Motional’s ML Acceleration team • Build and optimize core systems enabling researchers to train frontier models at scale • Profile performance using tools such as Nsight and PyTorch Profiler • Identify bottlenecks in data loading, gradient computation, and communication • Implement kernel fusion, sharding, and tiling optimizations to improve step time • Optimize distributed training pipelines using PyTorch Distributed • Design and maintain high-performance GPU kernels in Triton or CUDA • Optimize robust data loading pipelines to maximize training throughput • Help scale distributed model training and reduce time-to-convergence for next-generation models • Collaborate through in-office work at Boston, Pittsburgh, or Las Vegas, or work fully remotely

🎯 Requirements

• Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline • Strong proficiency in Python • Extensive hands-on experience with PyTorch • Experience optimizing machine learning model execution during training and inference • Strong understanding of fundamental machine learning concepts, architectures, and processes • Exceptional analytical and problem-solving skills • E-Verify employment eligibility verification for newly hired employees

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • Potential bonus • Company equity • Hybrid or fully remote work options