Generative modeling jobs

Data Scientist / Systems Analyst

MIT Lincoln Laboratory · Posted Nov 12, 2026

Open

Lexington, Massachusetts, United States
On-site
Full-time · Staff
$140K–$207K per year

Data Scientist / Systems Analyst

MIT Lincoln Laboratory · Posted Nov 12, 2026

Open

Lexington, Massachusetts, United States
On-site
Full-time · Staff
$140K–$207K per year

Research Engineer/Research Scientist in World Models and Simulation

Deeproute.ai · Posted Nov 11, 2026

Open

Fremont, California, United States

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Lead research and development of world modeling, video generation, and simulation systems for autonomous driving applications.

Responsibilities

Research, develop, and adapt models for world generation, future prediction, and simulation.
Advance model capabilities in controllability, consistency, and realistic world dynamics.
Develop scalable and efficient training and inference systems for world models.
Improve data and evaluation methods to support model quality and generalization.
Design experiments, analyze model behavior, and use findings to guide further research.

Requirements

Master's degree or PhD in Computer Science, Machine Learning, Electrical Engineering, Robotics, Applied Mathematics, or a related field, or equivalent practical experience.
Nice to have: Cosmos
Nice to have: Wan
Nice to have: LingBot
Nice to have: advanced pretrained video generation

Skills

Python PyTorch deep learning generative modeling predictive modeling

Automated Driving Advanced Development Intern, Machine Learning Research

Toyota Research Institute · Posted Nov 11, 2026

Open

Los Altos, California, United States
Hybrid
Internship · Intern
$45–$65 per hour

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Research intern to investigate foundation models and generative AI for autonomous driving, leading an independent research project in sim-to-sim and sim-to-real domain mapping.

Compensation

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles.

Responsibilities

Define a focused research question and experimental plan with your mentor, informed by your interests and the team’s research priorities.
Develop methods in one or more relevant areas, such as multimodal agents, generative policies, world models, simulation, or learning from interaction.
Build research prototypes using open-source datasets, large-scale Toyota driving data, the team’s closed-loop simulation infrastructure
Design experiments and evaluate generalization, robustness, efficiency, or closed-loop behavior, as relevant to the project.
Collaborate with TRI researchers and engineers to analyze results, investigate failure modes, and refine the research approach.

Requirements

Ph.D. or master’s degree in Computer Science, Robotics, Machine Learning, Artificial Intelligence, Electrical Engineering, or a related field
Nice to have: CARLA
Nice to have: neural rendering
Nice to have: language-vision-language models
Nice to have: agent systems

Skills

Python

Principal Engineer Physical AI Systems Modeling

Renesas Electronics · Posted Nov 11, 2026

Open

Ottawa, Ontario, Canada
Principal
8+ years

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Lead research and engineering in Physical AI systems modeling, defining long‑term direction, architecture, and translating research into hardware implementations.

Responsibilities

Define long‑term Physical AI research direction and system architecture for humanoid and industrial robotics
Identify emerging methods and lead foundation model training and fine‑tuning, VLA development, reinforcement learning, and generative modeling
Architect, develop, and maintain virtual system world models
Own the technical architecture of Physical AI data curation pipelines
Lead imitation‑learning, reinforcement‑learning, domain‑randomization, sim‑to‑real, and real‑to‑sim workflows

Requirements

Ph.D. in Robotics, Engineering Science, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering or a closely related field

Skills

foundation model training vision‑language‑action models reinforcement learning generative modeling robotics

Principal Scientist — Human Brain Molecular World Model

Bexorg · Posted Nov 11, 2026

Open

New Haven, Connecticut, United States
On-site
Full-time · Principal
$200K–$250K per year

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Lead the development of Bexorg's human brain world models: generative models that predict how the molecular state of human brain tissue evolves over time, both in disease and in response to therapeutic intervention.

Compensation

Pay: $200,000 - $250,000

Responsibilities

Lead the architecture, development, training, and validation of generative human brain world models
Develop models that capture high-dimensional molecular trajectories across brain regions, cell types, pathways, and genes
Work with proprietary human brain molecular omics datasets to improve model accuracy and predictive capabilities
Partner with experimental teams to prioritize studies and data generation strategies
Apply advanced machine learning methods including generative modeling, probabilistic learning, and high-dimensional dynamical systems

Requirements

PhD in machine learning, computational biology, statistics, physics, or a related quantitative field
Nice to have: large-scale self-supervised learning
Nice to have: foundation models in scientific domains
Nice to have: causal inference
Nice to have: counterfactual reasoning

Skills

deep learning generative modeling

2027 Summer Intern, Machine Learning, MS/PhD, Simulation Realism (World Model)

Waymo · Posted Nov 6, 2026

Open

Mountain View, California, United States
Hybrid
Internship · Intern
$70–$70 per hour
0–0 years

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Implement, train, and evaluate generative models for video and physical world simulation.

Compensation

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70—$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85—$85 USD

Responsibilities

Implement, train, and evaluate generative models (such as diffusion models, flow matching, or autoregressive transformers) for video and physical world simulation.
Experiment with unified 3D/4D and spatiotemporal representations that generalize across diverse scenes, vehicle platforms, and sensor modalities.
Investigate conditioning, fine-tuning, or distillation methods to improve temporal consistency, physical realism, and inference speed for closed-loop simulation.
Partner with mentors and researchers across Waymo and frontier AI labs at Google to adapt foundation world models and translate research prototypes into Waymo’s simulation pipeline.

Requirements

MS or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, or a related field
Nice to have: video generation
Nice to have: world models
Nice to have: 3D/4D scene representations
Nice to have: 3D computer vision

Data Scientist / Systems Analyst

Data Scientist / Systems Analyst

Compensation

Responsibilities

Requirements

Skills

Benefits

Research Engineer/Research Scientist in World Models and Simulation

Responsibilities

Requirements

Skills

Automated Driving Advanced Development Intern, Machine Learning Research

Compensation

Responsibilities

Requirements

Skills

Principal Engineer Physical AI Systems Modeling

Responsibilities

Requirements

Skills

Principal Scientist — Human Brain Molecular World Model

Compensation

Responsibilities

Requirements

Skills

2027 Summer Intern, Machine Learning, MS/PhD, Simulation Realism (World Model)

Compensation

Responsibilities

Requirements

Skills

Benefits

Benefits