AI Researcher

3 days ago

Pittsburgh, Pennsylvania, United States Stack AV Full time
About Stack AV

We are a pioneering company in AI advancements, transforming the physical realm with unprecedented safety, reliability, and efficiency. Our expertise spans diverse AI applications, reflecting our commitment to exploring new frontiers and delivering excellence in AI technology.

Internship Program

We are seeking talented interns to help us realize our vision of revolutionizing transportation through AI. As an early-stage start-up, we expect our interns to be an integral part of the team, working on research projects that directly impact our product. Along the way, you'll be provided with opportunities for collaboration and mentorship with industry leaders to accelerate your career and research goals.

We welcome students who are enrolled in university, pursuing a doctorate degree, and are currently located in the United States. Our summer internships are typically 12 weeks in duration, but we may be flexible for internships to start in the spring semester or continue into the fall semester.

We offer competitive pay and support sponsorship.

About the Team

The Autonomy Evaluation Team is a group of specialized engineers dedicated to developing simulation tools and metrics pipelines. Our simulation tools include log-based simulation and synthetic simulation, which simulates sensors and intermediate values such as nearby actors, map data, and vehicle state. Our metrics pipelines evaluate the results of simulations as well as vehicle logs, enabling data mining, performance evaluation, and identification of critical errors.

The Decision Making ML Development Team develops and evaluates state-of-the-art ML models for prediction, planning, and trajectory selection. We collaborate closely with the Data Platform and ML Infrastructure teams to ensure proper tooling to develop these models. Additionally, we coordinate with integration teams to deploy the models onto the vehicle once proven out with log sets and extensive simulation.

Research Areas

The project work will be scoped specifically based on your skill set and the research needs of the team. Project areas could include:

  • Optimized Traffic/Actor Generation (Sim / ML Team): Work with adjacent systems and safety teams to understand the operating environment for an AV and develop scenarios with generated actors to fully cover the possible AV-actor interactions.
  • Sensor Simulation - Novel View Generation (Sim / ML): Develop methods to work with sensor data from logs to generate novel views that can be used to output altered sensor data from nearby but previously untraveled vehicle positions.
  • Sensor Simulation - Sensors From Scene Data (Sim): Develop methods to utilize intermediate system outputs such as mapping information, lane lines, actor information, and obstacle information to generate corresponding synthetic sensor data such as camera imagery and LIDAR points.
Requirements

To be considered for this team, we strongly encourage students to have the following skills and experiences:

  • Python and C++ programming languages
  • Simulation tooling execution and development
  • Machine learning / Reinforcement learning experience
  • Sensor generation and transformation experience (camera, LIDAR)
  • Cross-functional communication skills
  • Software engineering best practices
  • Test-driven development experience
Equal Opportunity Employer

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.

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