Autonomy Engineer Intern, Computer Vision / Deep Learning
Research and develop computer vision and deep learning algorithms for autonomous drones, taking ownership of projects from prototyping through product integration. The internship requires strong C++ or Python and PyTorch skills, mathematical foundations, and software engineering ability.
About the job
Responsibilities
- Research, prototype, and assess the feasibility of new approaches for intelligent autonomous systems.
- Implement algorithms and features for next-generation drone autonomy and computer vision.
- Characterize and quantify the performance of core software and hardware components.
- Advance research and development of autonomous capabilities and help push them into production products.
Requirements
- Undergraduate or graduate student eligible for an internship.
- High proficiency in C++ and/or Python and PyTorch.
- Strong software engineering foundation and commitment to clean, well-architected code.
- Strong foundation in mathematics and theory.
- Demonstrated enthusiasm for one or more of: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, or tools/infrastructure.
- Ability to thrive in a fast-paced, collaborative, small-team environment.
Compensation
- Annualized base compensation of $47/hour for undergraduate students or $53/hour for graduate students.
- Benefits, incentives, and stipends may be available to full-time employees.
Skills
C++, Python, PyTorch, Computer Vision, Deep Learning, Motion Planning, Dynamics And Controls, 3D Graphics, Distributed Systems, Software Engineering
Similar jobs
ML Engineering jobs
PathAI
Boston, MADevelop and deploy machine learning models for biomedical research and AI product development, collaborating with scientific, engineering, and product teams. Requires a master's degree with 2–4 years of experience or a PhD with 0–2 years, plus strong Python and ML development skills.
MongoDB
United States
Build and maintain tooling, evaluation systems, quality gates, and infrastructure for MongoDB's agent skills and AI platform. Requires 2+ years building production software, developer tools, CLIs, test infrastructure, or CI/CD, with strong fundamentals in API design, testing, and reasoning about nondeterministic AI systems.
Simple AI
San Francisco, CA
Build and deploy production voice AI agents for customers, creating demos, debugging edge cases, improving performance, and translating feedback into product improvements. The role combines hands-on engineering, customer engagement, and pre- and post-sales delivery.
DataVisor
Mountain View, CA
Builds high-scale data pipelines, distributed systems, and AI agent workflows using LLMs for fraud intelligence platform. Requires 2+ years software engineering, Python proficiency, big data tools, AWS/K8s, and ML foundations.
Benchling
San Francisco, CA
Build datasets, evaluations, and scalable data systems that improve frontier AI models on challenging biological and scientific tasks. The role partners with scientists and AI labs and requires at least two years of experience applying biology and AI, plus hands-on LLM experience.