ZipRecruiter

Log In

1

Vla Jobs (NOW HIRING)

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Sorting Robotics

Mechatronics Engineer (Lead)

Van Nuys, CA · On-site

$170K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are hiring the Cognizant Engineer (CogE) to own our next flagship: a VLA-powered (Vision-Language-Action) gripping and assembly system. You will lead this product from the rig on the bench to ...

Sorting Robotics

Mechatronics Engineer (Lead)

Van Nuys, CA · On-site

$170K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are hiring the Cognizant Engineer (CogE) to own our next flagship: a VLA-powered (Vision-Language-Action) gripping and assembly system. You will lead this product from the rig on the bench to ...

Sorting Robotics

Mechatronics Engineer (Lead)

Los Angeles, CA · On-site

$170K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are hiring the Cognizant Engineer (CogE) to own our next flagship: a VLA-powered (Vision-Language-Action) gripping and assembly system. You will lead this product from the rig on the bench to ...

Danos, LLC

Battery Field Service Technician

Broussard, LA · On-site

$14.75 - $20/hr

Handle and replace VLA and VRLA batteries. * Perform battery capacity testing using DC load banks. * Use cell corders, hydrometers, voltmeters, and ammeters. * Work safely with electrical systems ...

Rainfall Ventures

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/hr

  • Medical

  • Dental

  • Vision

Develop action refinement and safety layers that post-process VLA outputs -- constraint satisfaction, collision and force guards, smoothing, and runtime monitors for safety-critical deployment

Danos, LLC

Battery Field Service Technician

Broussard, LA · On-site

$14.75 - $20/hr

Handle and replace VLA and VRLA batteries. * Perform battery capacity testing using DC load banks. * Use cell corders, hydrometers, voltmeters, and ammeters. * Work safely with electrical systems ...

Proception Inc.

Spatial AI & SLAM Engineer

Palo Alto, CA · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

... VLA) systems in the real world. Requirements * 01 MS or PhD in Robotics, Computer Vision, Computer Science, or a related field--or equivalent industry experience * 02 Strong background in SLAM, state ...

New

Danos, LLC

Battery Field Service Technician

Broussard, LA

$14.75 - $20/hr

Handle and replace VLA and VRLA batteries. * Perform battery capacity testing using DC load banks. * Use cell corders, hydrometers, voltmeters, and ammeters. * Work safely with electrical systems ...

previous page

Showing results 41-60

All JobsVla Jobs

Vla information

See salary details

$8

$26

$61

How much do vla jobs pay per hour?

As of Aug 19, 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 a 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 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.

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 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.

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:

What job categories do people searching Vla jobs look for?

The top searched job categories for Vla jobs are:

Vla jobs near you
Infographic showing various Vla job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 94% Full Time, 2% Part Time, and 1% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Senior, ML Engineer - VLM

Torc Robotics

Ann Arbor, MI • On-site

$102K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
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 training data is the single biggest lever for that strategy, and this team owns it.
Sitting within Offline Perception, this team turns petabytes of logged multi-modal fleet data (images, kinematics) into VLM/VLA-ready datasets: geometric annotations, scenario-level semantic descriptions, action- and trajectory-grounded labels, and reasoning traces that explain why a maneuver was taken. We run a continuous data flywheel - mine long-tail and failure cases, auto-label at scale, validate quality, and feed curated datasets directly into Torc's end-to-end VLM/VLA model development. You will own the dataset layer that those models learn from.
What You'll Do
  • Own the offline dataset pipeline - design, implement, test, and deploy Cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets, spanning geometric labels (3D/2D detection, tracking, segmentation, depth) through semantic, scenario-level, and action/trajectory-grounded annotations.
  • Build VLM-assisted auto-labeling - develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes, using foundation models to scale annotation and cut manual labeling cost.
  • Generate reasoning-grounded labels - produce language-grounded reasoning and chain-of-causation style annotations, temporally aligned to ego-motion and trajectories, to support VLA training and explainable driving behavior.
  • Mine and curate the long tail - surface rare, difficult, and high-uncertainty scenarios, and build curated datasets that measurably improve downstream VLM/VLA model metrics rather than simply adding volume.
  • Close the data flywheel - define dataset schemas, quality metrics, and validation; track auto-labeling quality against model requirements; route model failures back into re-labeling and retraining loops.
  • Partner with the end-to-end model team - co-define dataset specifications with VLM/VLA model developers, own the quality bar and delivery cadence, and operationalize a continuous dataset delivery loop into their training pipelines.
  • Scale on cloud infrastructure - build distributed, reproducible pipelines using columnar data formats and distributed compute, with disciplined software practices, version control, and documentation.
  • Lead and mentor - serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the organization.
  • Stay current - track the latest advances in multimodal models, auto-labeling, and end-to-end autonomous driving, and translate relevant research into production data systems.

What You'll Need to Succeed:
  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains, and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master's Degree in a related technical field plus competences typically acquired through 3+ years of experience.

Required Qualifications (some combination of the following skills):
  • Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation.
  • Multimodal / VLM experience - hands-on work with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings / search applied to perception data.
  • Model Data Curation - building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing (Databricks, Daft, Pandas, etc.).
  • Distributed ML & data frameworks - PyTorch, Lightning, Ray, Spark, or equivalent for training and large-scale data processing.
  • Scaled MLOps & Tooling - experiment tracking, model registry, MLflow / Weights & Biases, and ML metrics, evaluation, and quality.
  • Development Tools & Eco-System (at scale) - strong Python software development, VDI and cloud-based development environments, CI systems (GitHub Actions), and Docker.

Bonus Points!
  • End-to-end / VLA driving - familiarity with VLM/VLA or end-to-end driving models, trajectory and action grounding, or chain-of-causation / reasoning-trace datasets.
  • Auto-labeling foundation models - experience with segmentation, open-vocabulary detectors, or VLM/LLM-driven data engines for annotation and verification.
  • High-throughput model serving - vLLM, SGLang, or similar for batch auto-labeling and inference at scale.
  • Semantic inference & retrieval - attribute mapping, semantic search, and vector databases (e.g., LanceDB) for automotive data.
  • AV data standards & tooling - scenario-description standards such as Pegasus layers; parsing robotics formats (ROS bags, MCAP) and optimizing columnar storage (Parquet, Arrow).
  • Cloud development & orchestration - Terraform and AWS managed services (S3, ECS, Lambda, DynamoDB, Step Functions, Athena); AWS HyperPod / Anyscale; inference orchestration.
  • Data visualization - Foxglove, FiftyOne (51), three.js, OpenGL, or similar for dataset inspection and accessibility.
  • Evaluation & research - closed-loop / open-loop evaluation frameworks (e.g., NavSim-style planning metrics); publications in top-tier CV/AI/Robotics venues (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, CoRL).

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Additional Information
At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102744
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

Apply