[Hiring] Senior Machine Learning Engineer @Stack AV

Role Description

The Static World Perception team is responsible for generating the road elements that govern traffic flow for actors within the driving environment. This is achieved by integrating various onboard data sources, including a priori maps, LiDAR, cameras, GPS, and other available information. As a Senior Engineer, you will contribute to the development, maintenance, and enhancement of algorithms and systems to ensure the required performance of the online map standards are met.

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.

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++.

Company Description

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.