Senior Machine Learning Engineer, Static World

Stack AV Co; Pittsburgh (Allegheny County); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Stack AV is seeking a Senior Machine Learning Engineer to advance perception systems for L4 autonomous trucks. The role focuses on developing online and offline perception algorithms, integrating LiDAR, cameras, and maps, and ensuring real-time performance in safety-critical environments.

You will contribute to research-to-production, collaborate with hardware and software teams, and communicate with stakeholders to align priorities.

Qualifications

• Experience architecting, training, and deploying deep learning models in real-world environments.
• Track record of driving applied R&D projects from concept to productization.
• Experience in software engineering and ML algorithm design.
• Prior experience in sensor fusion and/or online mapping is highly desirable.
• Fluency in Python and C++.

Responsibilities

• Develop and maintain state-of-the-art perception and AI algorithms for L4 autonomous systems.
• Write robust, real-time, safety-critical software.
• Drive features from problem statement to delivery with cross-functional teams.
• Identify limitations in the online mapping system and lead improvements.
• Collaborate with stakeholders and communicate across teams.

Skills

Deep learning

Sensor fusion

Python

C++

Online mapping

Job description

Senior Machine Learning Engineer, Static World

Pittsburgh, PA or Remote

About Stack:

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.

About the Role:

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++.

#LI-VJ1

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Stack AV’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows.

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.