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Vla Jobs (NOW HIRING)

Vision-Language-Action (VLA) models and foundation models are becoming increasingly important in autonomous driving, but turning research models into real-time, production-ready systems on vehicle ...

Vision-Language-Action (VLA) models and foundation models are becoming increasingly important in autonomous driving, but turning research models into real-time, production-ready systems on vehicle ...

Senior, ML Engineer - VLM

Ann Arbor, MI

$102K - $140K/yr

Meet The Team Torc is marching toward its AV 3.0 strategy, where end-to-end Vision-Language-Action (VLA) models perceive, reason, and act directly from sensor data. High-quality, semantically rich ...

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Vla information

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How much do vla jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for vla in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is the difference between Vla vs Data Analyst?

AspectVlaData Analyst
Required CredentialsTypically a relevant degree in IT, computer science, or related fieldBachelor's degree in statistics, mathematics, or related field often required
Work EnvironmentOften in IT or technical teams, focusing on system managementIn business or finance settings, analyzing data to inform decisions
Employer & Industry UsageUsed in tech companies, IT departments, and software firmsCommon in finance, marketing, healthcare, and consulting firms
Common Search & ComparisonVla vs Data Analyst

While both roles involve working with data, Vla typically focuses on system management and technical support within IT environments, whereas Data Analysts primarily analyze data to generate insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are Vla?

Vla is not a recognized job title in most professional fields. It is commonly known as a Dutch dairy dessert, similar to custard, and not a job role. If you intended a different term or job title, please provide more context or check for spelling errors.

What are some common challenges faced by those working in a VLA role, and how can they be addressed?

Professionals in a VLA (Virtual Learning Assistant) role often face challenges such as adapting to rapidly changing educational technologies and meeting diverse student needs remotely. Staying up-to-date with new platforms and tools is essential for providing effective support. Additionally, clear communication and proactive engagement with both students and instructors can help overcome barriers related to distance learning. Collaborating regularly with IT and academic staff also ensures a smoother learning experience for everyone involved.

What are the key skills and qualifications needed to thrive as a Vla, and why are they important?

I'm sorry, but 'Vla' is not a recognized professional job title, so I cannot provide an answer based on real-world employment.
More about Vla jobs
What cities are hiring for Vla jobs? Cities with the most Vla job openings:
What states have the most Vla jobs? States with the most job openings for Vla jobs include:
Infographic showing various Vla job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Research Scientist, VLA Models - Atlas

Bostondynamics

Waltham, MA

Full-time

Posted 24 days ago


Job description

As a VLA Research Scientist on the Atlas team, you will architect, train, and deploy the large-scale behavior models that enable high-performance dexterous manipulation on Atlas. Your work will focus on building models that take multimodal input (vision, language, task context, robot state), and produce grounded actions that generalize across manipulation tasks, embodiments, and environments.

You will design large-scale behavior cloning and imitation learning pipelines, build hierarchical skill systems, and integrate learned components into a complex, real-world robotic system. You'll collaborate closely with robotics, controls, and software teams, and rapidly test your work on state-of-the-art humanoid hardware.

How You Will Make an Impact:
  • Architect and train end-to-end VLA and Large Behavior Models for mobile manipulation on Atlas.

  • Build large-scale imitation learning pipelines that learn from human demonstrations, teleoperation, and simulation data.

  • Develop policies capable of few-shot generalization across diverse manipulation tasks.

  • Create hierarchical behavior systems that combine learned skills into long-horizon behaviors.

  • Integrate your models into Atlas's autonomy stack in collaboration with controls and platform teams.

  • Deploy, debug, and iterate your models directly on physical hardware.

  • Write high-quality, maintainable Python and C++ code that fits into a large production codebase.

We're Looking For:

  • MS with 3+ years of experience or PhD in Machine Learning, Robotics, Computer Science, or related fields.

  • Prior experience training and deploying learned policies for complex behaviors in robots or simulated characters.

  • Strong background in:

    • Behavior cloning / imitation learning

    • Diffusion policies, ACT, or other modern BC architectures

    • Large behavior models or sequence modeling

    • Multimodal (vision/language/action) learning

  • Experience with modern ML frameworks (PyTorch, JAX) and large-scale training workflows.

  • Strong analytical and debugging skills; ability to write reliable, well-structured research code.

Nice to Have:

  • Hands-on experience deploying learned policies on real robots.

  • Experience creating or curating large demonstration datasets (teleop, human demos, ego-centric video).

  • Experience with RL as a complementary tool within behavior learning pipelines.

  • Publications in top-tier ML or robotics conferences (e.g., CoRL, RSS, ICRA, NeurIPS).

  • Experience contributing to large C++ or Python codebases.

Why Join Us:

  • Direct access to an advanced humanoid robot-test your models on hardware quickly and often.

  • A collaborative, inclusive team that values diverse perspectives and identities.

  • The opportunity to do applied VLA research with real-world impact.

  • A mission-focused environment where your work will define the future of general-purpose humanoids.