Remote PhD Research Intern, Simulation/ML

Description:

• Stack is focused on AI advancements across diverse technical domains, transforming how AI is applied in the physical realm.
• The internship program aims to revolutionize transportation through AI, seeking interns to work on impactful research projects.
• Interns will have opportunities for collaboration and mentorship with industry leaders to accelerate their career and research goals.
• The internship is open to students enrolled in a doctorate program in the United States, typically lasting 12 weeks, with flexibility for spring or fall semester internships.
• The Autonomy Evaluation Team develops simulation tools and metrics pipelines, including log-based and synthetic simulations.
• The Decision Making ML Development Team develops and evaluates state-of-the-art ML models for prediction, planning, and trajectory selection.
• Project work will be scoped based on the intern's skill set and team needs, with potential projects including optimized traffic generation, sensor simulation, and generating synthetic sensor data.

Requirements:

• Candidates must be enrolled in a university and pursuing a doctorate degree.
• Proficiency in Python and C++ programming languages is required.
• Experience in simulation tooling execution and development is necessary.
• Knowledge of machine learning and reinforcement learning is essential.
• Experience in sensor generation and transformation, including camera and LIDAR, is required.
• Strong cross-functional communication skills are needed.
• Familiarity with software engineering best practices is expected.
• Test-driven development experience is preferred.

Benefits:

• Interns will receive competitive pay for their contributions.
• The internship provides opportunities for mentorship and collaboration with industry leaders.
• Stack supports sponsorship for eligible candidates.
• Interns will gain hands-on experience in a cutting-edge AI environment, contributing to meaningful projects in the transportation sector.