Motional
Motional

60 Motional Product Development Jobs Hiring Near You

Staff Motion Planning Engineer

Boston, MA · On-site +1

$168K - $225K/yr

Develop a culture of product focused engineering, research, and development What we're looking for ... Motional's benefits include but are not limited to medical, dental, vision, 401k with a company ...

... productivity. * Scale Core Infrastructure: Drive the continuous development of our core ML ... Motional's benefits include but are not limited to medical, dental, vision, 401k with a company ...

Senior Engineer

Boston, MA · On-site +1

$168K - $244K/yr

Experience must include: * industry experience with Python, production-quality software development ... Motional's benefits include but are not limited to medical, dental, vision, 401k with a company ...

Perception Engineer

Boston, MA · Remote

$165K - $197K/yr

Experience must include: * production-level software development, * model deployment, * integration ... Motional's benefits include but are not limited to medical, dental, vision, 401k with a company ...

Staff Technical Program Manager

Boston, MA · On-site +1

$144K - $191K/yr

... Motional's roadmap, focusing on model development and release cycles, while ensuring alignment between senior engineering leaders, product managers, and executive stakeholders. * Lead Cross-Stack ...

Join to apply for the Staff Cybersecurity Engineer role at Motional Motional's global headquarters ... What we're looking for * 8+ years of experience in product security, with at least 3 years focused ...

Showing results 21-40

Fellow - Autonomy (Distinguished Engineer)

Motional

Pittsburgh, PA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
Motional is a driverless technology company focused on making autonomous vehicles a safe, reliable, and accessible reality. They are seeking a distinguished Machine Learning Engineer to join their Autonomy team, where the candidate will develop key features for their autonomous driving platform and apply machine learning to various prediction, planning, and control problems.
Responsibilities:
• Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional’s Autonomous Vehicle products.
• Leading, Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data.
• Partnering with system software engineering specialists to ship industrial strength ML models.
• Communicating and collaborating with multi-functional teams.
Qualifications:
Required:
• BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience)
• 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications
• Deep understanding of large language models (LLM) and transformers
• Hands on experience building large scale production ML systems and deploying them at scale
• Excellent leadership and track record for innovation to help us build the next generation of our ML based planning solutions
• Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.)
• Excellent understanding of the mathematical foundations of machine learning and deep learning
• Hands-on experience and deep knowledge in machine learning
• Understanding of deep neural networks, autonomous vehicles, and domain adaptation
• Strong research, SW development, communication, interpersonal, and analytical skills
Preferred:
• Prior experience as a ML planning lead
• Proven publication record in ML for planning, vision, or related fields
• Prior experience building and deploying vision language action or chain of thought models
Company:
Motional offers an autonomous driving platform for robotaxi providers, fleet operators, and automotive manufacturers. It is a sub-organization of Hyundai Motor Group. Founded in 2020, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.