Senior Engineer – Perception Modeling

Job not on LinkedIn

🔥 0 minutes ago

🎰 Nevada, Massachusetts, +1 more states – Remote

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

💵 $172k - $229k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack 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 the architecture and development of advanced perception systems focused on large-scale multi-modal foundation models and knowledge generalization across vehicle generations • Architect and scale synthetic data generation and sensor simulation capabilities for long-tail edge cases, unseen off-log scenarios, and closed-loop evaluation • Drive knowledge transfer from large teacher/foundation models to efficient onboard real-time perception models through distillation and post-training techniques • Productionize and deploy solutions onto autonomous vehicle fleets • Provide technical leadership, mentorship, and guidance to senior and mid-level engineers • Collaborate with ML engineers and research scientists to advance Level 4 autonomous driving technology

🎯 Requirements

• 3+ years of experience in Machine Learning, Computer Science, Robotics, or a related field • Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience • In-depth understanding of common Machine Learning and Deep Learning algorithms • Experience designing, training, and analyzing neural networks for object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception • Experience with deep learning frameworks such as TensorFlow or PyTorch • Fluency in Python, including standard scientific computing libraries and Python bindings development experience • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods • Experience mentoring and leading others • Excellent communication and interpersonal skills • E-Verify employment eligibility verification required for newly hired employees • Preferred: experience designing, training, or fine-tuning Foundation Models for autonomous driving or robotic perception • Preferred: expertise in World Models, generative video/lidar prediction, scene synthesis, and sensor simulation • Preferred: experience with Knowledge Distillation and model compression techniques • Preferred: experience with Synthetic Data Generation and multi-modal automated labeling systems • Preferred: publications in premier computer vision or machine learning conferences

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) with a company match • Health savings accounts • Life insurance • Pet insurance • Additional bonus or company equity may be included • Inclusive and diverse workplace culture