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Remote Vlm Jobs (NOW HIRING)

Inspiren

Senior Machine Learning Engineer

$200K - $230K/yr

Design, build, and iterate on VLM-based pipelines that generate high-quality labels and annotations ... Remote, US or Canada. NYC preferred. * Qualified applicants will receive consideration for ...

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Remote Vlm information

What are the key skills and qualifications needed to thrive as a Remote Virtual Learning Moderator, and why are they important?

To thrive as a Remote Virtual Learning Moderator, you need expertise in online education practices, strong organizational skills, and typically a bachelor's degree in education or a related field. Familiarity with learning management systems (LMS), video conferencing platforms, and digital collaboration tools is crucial. Excellent communication, problem-solving, and time management skills help you engage participants and resolve issues quickly. These abilities ensure smooth, interactive learning experiences and effective support for both instructors and learners in a virtual setting.

How does a Remote VLM typically collaborate with team members and stakeholders across different locations?

As a Remote VLM (Virtual Learning Manager), you’ll frequently coordinate with instructors, content developers, and technical support teams using digital collaboration tools like video conferencing, shared workspaces, and learning management systems. Clear communication and proactive scheduling are essential for keeping projects on track and ensuring all stakeholders are aligned, despite time zone differences. Many organizations emphasize regular virtual check-ins and agile workflows to maintain strong team connections and effective project management. This collaborative approach helps ensure that learning initiatives are delivered smoothly and meet organizational goals.

What is a Remote VLM?

A Remote VLM, or Virtual Learning Mentor, is an education professional who provides guidance and support to students through online platforms rather than in-person. They assist learners in navigating online courses, setting academic goals, and maintaining motivation. Remote VLMs often work with students of various ages and backgrounds, helping them develop study skills, manage their time, and access educational resources. Their role is especially important in virtual learning environments where students may need additional support to stay engaged and succeed.

What is the difference between Remote Vlm vs Remote Visual Merchandiser?

AspectRemote VlmRemote Visual Merchandiser
Required CredentialsExperience in visual presentation, retail knowledgeDesign skills, retail experience, creativity
Work EnvironmentRemote, often from home or officeRemote, with occasional store visits or client meetings
Industry UsageRetail, e-commerce, brand marketingRetail, fashion, home decor
Common Search/ComparisonYesYes

Remote Vlm and Remote Visual Merchandiser roles both focus on visual presentation in retail environments. While Remote Vlm emphasizes creating visual displays and store layouts remotely, Remote Visual Merchandiser often involves designing product displays and store setups from a distance. Both require retail knowledge and creativity, but their specific tasks and industry focus differ slightly.

More about Remote Vlm jobs
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What are the most commonly searched types of Vlm jobs? The most popular types of Vlm jobs are:
What states have the most Remote Vlm jobs? States with the most job openings for Remote Vlm jobs include:
What job categories do people searching Remote Vlm jobs look for? The top searched job categories for Remote Vlm jobs are:
Remote Vlm jobs near you
Senior Machine Learning Engineer, Perception LLM/VLM

Senior Machine Learning Engineer, Perception LLM/VLM

Waymo

Mountain View, CA • On-site, Remote

$204K - $259K/yr

Other

Posted 8 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 Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

You will:

  • Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models.
  • Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models.
  • Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving.
  • Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems.

You have:

  • 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models).
  • Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets.
  • Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).
  • Hands-on experience with model training, evaluation, and deployment in a production environment.
  • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

We prefer:

  • Experience in fine-tuning foundation models for autonomous driving or robotics applications
  • Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.
  • Background in autonomous vehicle perception, motion planning, or decision-making systems.
  • Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
  • PhD in a relevant field.


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
$204,000—$259,000 USD

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