Human Interactive Driving Research Intern, Machine Learning & Optimization at Toyota Research Institute

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Automotive, Research, Artificial IntelligenceIndustries

Requirements

Current Ph.D. student in related fields - ML/AI, optimization, computer science, applied mathematics, or similar
Publication background in relevant venues (e.g. NeurIPS, ICML, ICLR, SIOPT, Math Programming)
Proficient at Linux, PyTorch
Experience with distributed computing (e.g. AWS) a plus
Relevant publications and good collaboration skills highly encouraged
Link to Google Scholar with full list of publications

Responsibilities

Define project scope and agree on project direction with your mentor
Undertake a well-scoped research project in a relevant area and bring it to publication in an appropriate venue
Have a high level of self-initiative to prioritize and manage workload and meet project deadlines in a dynamic environment
Work and collaborate with other stakeholders and HID team members

Skills

Machine Learning

Optimization

Mathematical Optimization

Mixed-Integer Optimization

Diffusion Models

Generative AI

ML/AI

Computer Science

Applied Mathematics

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

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.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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