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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing, training, and validating AI, Computer Vision, and Machine Learning models, with a strong foundation in cutting-edge techniques such as deep learning and reinforcement learning. Collaborates effectively in cross-functional teams to drive innovative solutions in autonomous vehicle technology.
Highest-signal resume keywords
PhD Program EnrollmentPython ProgrammingC++ ProgrammingMachine Learning FrameworksComputer Vision
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Model DevelopmentMachine LearningComputer VisionDeep LearningReinforcement LearningSimulationMulti-Modal Foundational ModelsSLAM3D PerceptionAutomatic Mapping
Soft Skills
Cross-Functional CollaborationCommunication
Tools & Technologies
PyTorch
Industry Keywords
Autonomous VehiclesAI ResearchTransformative AI SolutionsSOTA TechniquesDistributed ML Architectures
Tech Stack
Tools & technologiesPythonPyTorchC++
About the role
Key responsibilities & impact- Conduct research within the Autonomy team on cutting-edge AI and autonomous vehicle challenges
- Contribute to autonomous technology breakthroughs shaping Stack AV's autonomous vehicle product
- Potentially work on autolabeling; 3D perception, tracking, and SLAM; long-range perception; automatic mapping; prediction; deep decision making; world models; and distributed, multi-stage ML architectures
- Develop, train, and validate AI, computer vision, and machine learning models
- Collaborate cross-functionally in a team environment
- Contribute to transformative AI solutions as an integral member of the startup team
Requirements
What you’ll need- Currently enrolled in a PhD program in a relevant field (3+ years into program preferred)
- Currently located in the United States
- Strong programming skills in Python or C++
- Experience with ML frameworks such as PyTorch
- Strong foundation in Computer Vision, Machine Learning, Simulation, Reinforcement Learning
- Ability to develop, train, and validate AI/CV/ML models
- Experience in SOTA deep learning techniques, e.g. multi-modal foundational models
- Experience working and communicating cross functionally in a team environment
- May be subject to verification of residence, U.S. person status, and/or citizenship status
- May require a U.S. government export license depending on candidate status
Benefits
Comp & perks- Competitive pay
- Support CPT
- Remote-first work arrangement
- Opportunity to collaborate with industry leaders
- Career and research growth opportunities
- At least 12-week summer internship duration, with possible flexibility to continue into the fall semester
- In-person work option for interns already based in the Pittsburgh area