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Full Time Vlm Jobs (NOW HIRING)

NIO

AI Technical Lead

San Jose, CA · Hybrid

$192K - $249K/yr

Proven experience optimizing state-of-the-art LLM/VLM inference pipelines. Deep understanding of ... The US base salary range for this full-time position is $192,100.00 - $249,600.00. * Within the ...

Waabi

Research Scientist, World Models

OR · On-site +1

$155K - $269K/yr

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control. Generative scenario ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

NIO

AI Technical Lead

San Jose, CA · On-site

$192K - $249K/yr

Proven experience optimizing state-of-the-art LLM/VLM inference pipelines. Deep understanding of ... The US base salary range for this full-time position is $192,100.00 - $249,600.00. * Within the ...

Waabi

Research Scientist, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Engineer, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

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How much do full time vlm jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for full time vlm in the United States is $41.08, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $55.77 per hour, depending on experience, location, and employer.

What is the difference between Full Time Vlm vs Full Time Warehouse Associate?

AspectFull Time VlmFull Time Warehouse Associate
Required CredentialsHigh school diploma or equivalent; forklift certification often preferredHigh school diploma or equivalent; basic warehouse safety training
Work EnvironmentWarehouse, logistics, inventory managementWarehouse, shipping, receiving
Employer & Industry UsageLogistics companies, distribution centersRetail, manufacturing, distribution centers
Common Search & ComparisonYesYes

Full Time Vlm roles typically focus on inventory management and logistics within warehouses, requiring certifications like forklift operation. Full Time Warehouse Associates perform similar tasks but may have less emphasis on certifications. Both roles are essential in warehouse operations and often overlap in work environment and industry usage.

More about Full Time Vlm jobs
What cities are hiring for Full Time Vlm jobs? Cities with the most Full Time Vlm job openings:
What are the most commonly searched types of Vlm jobs? The most popular types of Vlm jobs are:
What job categories do people searching Full Time Vlm jobs look for? The top searched job categories for Full Time Vlm jobs are:
Full Time Vlm jobs near you
Senior ML Engineer, LLM / VLM Distillation

Senior ML Engineer, LLM / VLM Distillation

Waymo

Mountain View, CA • On-site

$213K - $263K/yr

Full-time

Posted 13 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 you will report to a Research Director of AI Foundations.
You will:
  • Work on distillation from large foundation models to smaller real-time models.
  • Explore LLM/VLM distillation recipes to maximally transfer the quality gains from teachers.
  • Customize distillation data and recipe for business-critical Semantics tasks

You have:
  • Experience in building large-scale deep learning systems.
  • Experience in VLM/LLM models.

We prefer:
  • Experience in training or deploying multi-modal LLMs.
  • Distillation related experience.

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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