Senior ML Engineer: Remote Autonomous Perception & Mapping

Stack AV; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Job summary

Stack AV in Pittsburgh is seeking a Senior Machine Learning Engineer for the Static World team to advance perception for L4 self-driving systems. You will design, implement, and optimize algorithms that fuse data from LiDAR, cameras, GPS, and maps to generate robust road element understanding.

You will deliver state-of-the-art online and offline perception solutions, write production-grade software in Python and C++, and collaborate with cross-functional teams to drive features from concept to

Qualifications

• Experience architecting, training, and deploying deep learning models (transformers or diffusion or flow) into real-world environments.
• Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
• Experience in software engineering and machine learning algorithm design.
• Prior experience in sensor fusion and/or online mapping is highly desirable.
• Fluency in Python.
• Experience with C++.

Responsibilities

• Work in the team to deliver state-of-the-art online and offline perception and generative AI algorithms and systems for L4 self-driving vehicles.
• Write robust software for real-time, resource-constrained, safety-critical applications.
• Drive features and work streams from problem statement to delivery.
• Proactively identify limitations with the existing online mapping system and drive improvements.
• Align internal stakeholders with strong presentation and communication skills.
• Build consensus and execute on team priorities.

Skills

Python

C++

Deep learning

Transformers

Sensor fusion

Online mapping

Applied research

Software engineering

ML algorithm design

Job description

Stack AV in Pittsburgh is seeking a Senior Machine Learning Engineer for the Static World team to advance perception for L4 self-driving systems. You will design, implement, and optimize algorithms that fuse data from LiDAR, cameras, GPS, and maps to generate robust road element understanding.

You will deliver state-of-the-art online and offline perception solutions, write production-grade software in Python and C++, and collaborate with cross-functional teams to drive features from concept to