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Research Summer Intern - Machine Learning (Prediction and Planning)
Posted on 2/1/2022
INACTIVE
Locations
Mountain View, CA, USA
Experience Level
Intern
Desired Skills
Computer Vision
Linux/Unix
Pytorch
Research
Python
Requirements
  • Currently pursuing a Ph.D. in Machine Learning, Robotics, Computer Vision, or related fields
  • Some experience in at least one key ML area among Computer Vision, RL, Control, ML theory, AI ethics, or related
  • At least one publication at high-impact conferences/journals (CVPR, ICLR, NeurIPS, CoRL, ICML, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.) on the aforementioned topics or other evidence of innovative research work
  • Experience in scientific python, Unix, and a common DL framework (preferably PyTorch)
  • You can work in collaboration with other researchers and engineers to invent and develop interesting research ideas
  • If you are passionate about large scale challenges in ML, especially in the space of Automated Driving, Robotics, and for societal good for meeting general needs for all
  • You are a reliable team-player. You like to think big and go deeper. You care about openness and delivering with integrity
Responsibilities
  • Conduct bold research in Machine Learning that solves open problems of high practical value and validate it in real-world benchmarks and systems
  • Push the boundaries of knowledge and the state of the art in ML areas including simulation, prediction, and planning for autonomous driving and robotics
  • Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners
  • Stay up to date on the state-of-the-art in Machine Learning ideas and software
  • Present results in verbal and written communications, internally, at top international venues, and via open source contributions to the community
  • Participate in collaborations with our external research partners (e.g., Stanford, Berkeley, CMU, Oxford)
Toyota Research Institute

51-200 employees

R&D arm of Toyota
Company Overview
Toyota Research Institute's mission is to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. They're dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life.
Benefits
  • Highly competitive benefits package
  • Robust programs to support the wellbeing, happiness, and health of our people and their families.
  • 401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.
  • Subsidized commuter benefits and generous employee and vehicle allowances
  • 2 paid days per year to participate in volunteer activities.
  • Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms
  • Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.
  • Back-up child and adult / elder care programs to help everyone thrive
  • WellBeats Virtual Fitness Trainer.
Company Values
  • Be Yourself - We bring our full selves to work every day. Our diverse views, history, personality, character, and experiences are invaluable to TRI and Toyota.
  • Respect One Another - We celebrate everyone’s differences, opinions, and perspective. We practice mutual respect and act with integrity.
  • Assume Best Intentions - People are good. We trust and give them the benefit of the doubt. We assume they act the way they do because they believe it’s best for TRI.
  • Think Globally - We don’t work or think in silos. Our work impacts people within TRI, Toyota, and our communities around the world. We always make it about collaboration.
  • Make it Happen - We are proactive, not reactive. We push boundaries because we’re not afraid to fail. We succeed together.
  • Embrace Diversity - We believe diversity makes us stronger, including diversity of ethnicity, gender, age, religion, disability, sexual orientation, education, personality, skills, experiences, and knowledge.
  • Always Learn - We believe in constant improvement and advancement of ideas and beliefs. We embrace Hansei and Kaizen. We are on a journey to explore, experiment, and learn together.