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Vlm Jobs (NOW HIRING)

Analogic

Material Process & Logistics Co-Op

Salem, NH · On-site

Vertical Lift Module (VLM) Support * Develop work instructions for VLM transactions and material retrieval processes. * Assist with organizing and optimizing VLM storage locations. * Support ...

Matroid

VLM & VFM Forward Deployed Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Vision Language Model (VLM) & Visual Foundation Model (VFM) Forward Deployed Engineer to operate at the forefront of visual and multi-modal intelligence deployment in industry ...

Matroid

VLM & VFM Forward Deployed Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Vision Language Model (VLM) & Visual Foundation Model (VFM) Forward Deployed Engineer to operate at the forefront of visual and multi-modal intelligence deployment in industry ...

Matroid

VLM & VFM Forward Deployed Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Vision Language Model (VLM) & Visual Foundation Model (VFM) Forward Deployed Engineer to operate at the forefront of visual and multi-modal intelligence deployment in industry ...

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How much do vlm jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for 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 a vlm?

A VLM (Vertical Lift Module) job typically involves managing automated storage and retrieval systems used in warehouses and manufacturing facilities. Responsibilities may include operating, maintaining, and troubleshooting VLM equipment, ensuring efficient inventory management, and optimizing space utilization. Workers in this role often collaborate with logistics, warehouse, and IT teams to streamline operations and improve workflow efficiency.

What are the key skills and qualifications needed to thrive in the vlm position, and why are they important?

To thrive as a VLM (Vendor Lifecycle Manager), you need strong analytical skills, a solid understanding of procurement processes, and a background in business administration or supply chain management. Familiarity with vendor management systems (VMS), contract management software, and relevant certifications such as Certified Professional in Supply Management (CPSM) are often required. Excellent negotiation, relationship-building, and problem-solving abilities help you stand out in this role. These skills are essential to ensure effective vendor relationships, compliance, and optimal value delivery throughout the vendor lifecycle.

What are the main challenges faced by vendor lifecycle managers, and how can they be addressed?

Vendor Lifecycle Managers (VLMs) often face challenges such as aligning vendor performance with organizational goals, managing compliance risks, and ensuring smooth communication across departments. Staying updated on shifting business needs and regulatory requirements can add complexity to vendor management. Building strong relationships with vendors and cross-functional teams, as well as leveraging robust management systems, can help mitigate these challenges. Continuous training and proactive risk assessment are also key strategies for successful performance in this role.

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Vlm jobs near you
Infographic showing various Vlm job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 94% Full Time, 1% Part Time, 2% Contract, and 2% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $85,437 per year, or $41.1 per hour.

Senior Staff Machine Learning Engineer, LLM/VLM Model Architecture & Optimization

San Diego, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

Full-time

Re-posted 23 days ago

Job description

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 VLM/LLM model architecture and drive strong alignment between model architectures and hardware architectures.
  • Optimize model performance for on-device use cases (memory, power, compute constrained environments).
  • Engage directly with research, software engineering, hardware engineering, and product teams to deliver end-to-end solutions.

You have:

  • 7+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models).
  • Proven expertise in low-latency on-device inference techniques and a deep understanding of hardware acceleration.
  • Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training.
  • A track record of operating effectively under ambiguity, setting direction amid rapidly evolving research and technical constraints
  • Experience applying large language models or foundation models in complex, safety-critical domains (e.g., autonomy, robotics, or other high-reliability systems)
  • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

We prefer:

  • 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.

Apply