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Remote Deep Learning Research Jobs (NOW HIRING)

Codertal

AI Research Scientist

Union, NJ · On-site +1

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role ... You'll work on research projects involving deep learning, generative AI, transformers, optimization ...

Anthropic

$350K - $850K/yr

Research Engineer/Research Scientist, Pre-training Remote-Friendly (Travel-Required) | San ... Expertise in Python and experience with deep learning frameworks (PyTorch preferred) * Familiarity ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$125.80K - $172.70K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines ...

Avomind

Founding Robot Learning Research Engineer

Early-stage robot learning research and system development. * Reports to : Co-founder / CTO. * Core ... If you want deep ownership on a hard problem from day one, this is the role. Your First Year

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147.40K - $194.30K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines ...

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Senior Research Scientist, World Action Modeling

Senior Research Scientist, World Action Modeling

Waymo

Manhattan, NY • On-site, Remote

$213K - $263K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager.

You will:

  • Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles).
  • Develop and maintain scalable data pipelines to process data from multiple sources.
  • Design and implement evaluation strategies for world action models.
  • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
  • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications.
  • Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products.

You have:

  • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models.
  • Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch).
  • Strong familiarity with AI tools in day to day work.
  • Experience in large-scale distributed training and different forms of parallelism.
  • Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models.

We prefer:

  • Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
  • Substantial involvement in and contributions to high impact industry AI projects.
  • First-hand experience in, and direct contributions to training large world models / world-action models.
  • Familiarity with Reinforcement Learning in simulation environments.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000—$263,000 USD

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