Senior Data Scientist Large Behavior Models Diffusion Policy
Senior Data Scientist Large Behavior Models Diffusion Policy
Posted on :
22-04-2025
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1 Vacancy
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Yearly Salary
$ 201600 - 302400
Vacancy
1 Vacancy
Posted on :
22-04-2025
Job Description
At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a worldclass team in Energy & Materials HumanCentered AI Human Interactive Driving Large Behavioral Models and Robotics.
The Discover Nurture and Adopt (DNA) division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products services and needs. We achieve this through partnership collaboration and shared commitment. DNA is leading a new crossorganizational project between TRI and Woven by Toyota to research and develop a fully endtoend learned automated driving / ADAS stack. This crossorg collaborative project is harmonious with TRIs robotics divisions efforts in Diffusion Policy and Large Behavior Models (LBM).
We are looking for a data scientist to contribute to the endtoend model development using Diffusion Policy and Large Behavior Models (LBM) for automated driving. This role involves focusing on analyzing largescale data evaluating models curating datasets and optimizing performance to enhance automated driving systems. You will also develop algorithms pipelines and key strategies to enhance and streamline scalable large fleet data and vendor data. You will work closely with machine learning researchers software engineers and roboticists to drive manage dependencies and accelerate the transition of research models into realworld deployment.
This role offers a unique opportunity to drive innovative AI research into realworld deployment shaping the future of automated driving. If you are passionate about building transformative AIdriven mobility solutions we invite you to apply and help us advance the next generation of automated driving vehicle technology.
Responsibilities
- Design and implement data strategies for collecting sampling labeling and using largescale datasets to train and validate Large Behavior Models (LBM) in automated driving scenarios.
- Develop metrics and evaluation frameworks for anomaly detection and trend analysis in data from various sources including realworld vehicle platforms and simulations.
- Analyze model performance metrics model failure modes statistical relevance of datasets collaborating with machine learning engineers to finetune debug and optimize models for automated driving tasks.
- Design and improve scalable data pipelines and automation for machine learning and performance evaluation.
- Support the integration of multimodal data sources (e.g. vision radar language maps) into endtoend driving models.
- Work closely with crossfunctional teams to bridge the gap between research models and production deployment.
Qualifications
- MS or PhD in related fields.
- 5 years of experience in data science machine learning or a related field with a focus on largescale AI applications.
- Strong background in statistical analysis data mining and machine learning techniques.
- Proficiency in Python and SQL for data manipulation analysis and visualization.
- Experience with theoretical aspects of data science and machine learning (deep learning statistical analysis and mathematical modeling).
- Experience in building machine learning algorithms and infrastructure including data pre and postprocessing sampling and curation ablation studies and evaluation.
- Experience with deep learning frameworks (e.g. PyTorch TensorFlow) and ML model evaluation.
- Familiarity with largescale dataset management including handling highdimensional sensor data.
- Strong analytical and problemsolving skills with the ability to interpret complex datasets and drive actionable insights.
- Experience working in crossfunctional AI research and engineering teams.
Bonus Qualifications
- Experience in automated driving technologies including perception prediction planning or sensor simulation.
- Experience in building or managing infrastructure such as Docker Kubernetes Jenkins GitHub Actions.
- Experience working with temporal/sequential and/or spatial data.
- Handson experience with sensor data processing (e.g. camera LiDAR radar IMU).
- Familiarity with automotive simulation tools and realworld autonomous vehicle testing.
The pay range for this position at commencement of employment is expected to be between$201600and$302400/year for Californiabased roles; however base pay offered may vary depending on multiple individualized factors including market location jobrelated knowledge skills and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits such as vacation sick time and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Please reference thisCandidate Privacy Noticeto inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute Inc. or its subsidiaries including Toyota A.I. Ventures GP L.P. and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all without regard to an applicants race color creed gender gender identity or expression sexual orientation national origin age physical or mental disability medical condition religion marital status genetic information veteran status or any other status protected under federal state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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