Machine Learning Research Scientist
Natural Language Processing
Confirmed live in the last 24 hours
Mountain View, CA, USA
Experience Level
Desired Skills
Computer Vision
Natural Language Processing (NLP)
  • Consistent track record of publishing at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, UAI, RSS, ICRA, COLT, CDC, L4DC, CVPR, ICCV, ECCV, PAMI, IJCV, etc.) on some of the aforementioned topics
  • Proficiency with one or more coding languages and systems, preferably python, Unix, and a DL framework (e.g., PyTorch)
  • Can identify, propose, and lead new research projects, working in collaboration with other researchers and engineers to complete it from initial idea to working solution
  • Passionate about ML research
  • A reliable teammate who loves to think big, go deeper and delivers with integrity
  • Conduct daring research primarily in Natural Language Processing, Computer Vision, Planning, Dialog, and Robotics that solves open problems of high practical and/or ethical value and validate it in real-world benchmarks and systems
  • Push the boundaries of knowledge and the state of the art in areas including language and vision for 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
  • Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community
  • Lead collaborations with our external research partners (e.g., Stanford, Berkeley, MIT) and mentor research interns
  • Bachelor's or Master's degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering). Ph.D. in Machine Learning, Robotics, Control Theory, Computer Vision, or related fields preferred
  • Expertise in at least one key ML area
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.
  • 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 Core 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.