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Woven Label Jobs (NOW HIRING)

Weave

Senior ML - GenAI Engineer, Voice & Speech

$125K - $165K/yr

Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and ... Experience with data labelling or annotation for audio or text use cases. * Understanding of ...

Socket.dev

Home Textiles Designer

Manhattan, NY · On-site

$55 - $75/hr

Create original artwork for customer specific product lines, including brands and private label * Design specific customer related products for prints, woven and embellished product categories.

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How much do woven label jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for woven label in the United States is $25.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $35.10 per hour, depending on experience, location, and employer.

What is a woven label?

A Woven Label job typically involves designing, producing, and inspecting woven labels used for branding on garments, accessories, and other textile products. Responsibilities may include selecting materials, ensuring quality control, and coordinating with manufacturers or clients to meet branding requirements. This role requires attention to detail, knowledge of textile production, and an understanding of design elements.

What does a woven label machine operator do?

As a Woven Label Machine Operator, your typical day involves setting up and monitoring weaving machines, overseeing the production of fabric labels, and ensuring products meet quality standards. You will frequently inspect labels for defects, make adjustments to machinery, and record production data. Collaboration with quality control inspectors and other machine operators is common to maintain smooth workflow and resolve issues quickly. The environment is usually a bustling manufacturing floor, where attention to detail and time management are key to meeting production deadlines. This dynamic role offers valuable hands-on experience and opportunities to advance into supervisory or quality assurance positions within the textile industry.

What skills and qualifications are needed for a woven label position?

To succeed as a Woven Label Machine Operator, you need proficiency in machine operation, attention to detail, and a basic understanding of textile manufacturing processes, often supported by a high school diploma or equivalent. Familiarity with industrial weaving machines and quality inspection tools is typically required, with on-the-job training or certification in machinery operation being advantageous. Strong problem-solving skills, effective communication, and the ability to work both independently and as part of a production team are valuable soft skills in this role. These abilities are crucial for ensuring consistent product quality, efficient workflow, and safety in a fast-paced manufacturing environment.

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Woven Label jobs near you
Infographic showing various Woven Label job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 8% Temporary, 15% Contract, and 8% Nights. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $53,435 per year, or $25.7 per hour.

Senior Machine Learning Engineer, Vehicle Perception

Woven by Toyota

Palo Alto, CA • On-site

$122K - $168K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAM
The Vehicle Perception team at Woven by Toyota tackles the core challenges of machine learning for 3D perception, sensor fusion, and computer vision in autonomous vehicles. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for onboard perception. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.
WHO ARE WE LOOKING FOR?
The team is looking for a skilled Machine Learning Engineer to help advance a cutting-edge machine learning system for perception foundation models leveraging large-scale multimodal sensor data. You will have the chance to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, influencing millions of Toyota production vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity. Furthermore, we highly value candidates who exhibit a "giver" mindset, consistently seeking opportunities to assist their colleagues while maintaining a strong focus on delivering solutions to production.
RESPONSIBILITIES
  • Senior Lead the design and development of perception foundation models for autonomous vehicles, unifying diverse sensor data for scalable 3D scene understanding.
  • Deploy scalable and efficient ML models on our autonomous vehicle platform.
  • Integrate modern technologies with rigorous safety standards while maintaining cost efficiency.
  • Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation.
  • Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions
  • Work in a high-velocity environment and employ agile development practices.
  • Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions.
  • Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week.
MINIMUM QUALIFICATIONS

  • MS or PhD in Machine Learning, Computer Vision, Robotics or related quantitative fields, or equivalent industry experience.

  • 3+ years of experience with Python, any major deep learning framework (PyTorch preferred), and software engineering best practices

  • 3+  years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning.

  • 3+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.

  • Experience working with large-scale foundation models, including pretraining, multimodal architectures, self-supervised learning approaches.

  • Deep understanding of runtime complexity, distributed/cloud ML infrastructure, data pipeline architecture,resource-aware optimization.

  • Comfortable in writing C++ code to help integrate with our autonomous vehicle platform.

  • Strong leadership skills to influence others and the team's technical strategy.

  • Strong communication skills with the ability to communicate concepts clearly and precisely.

NICE TO HAVES

  • Published research at top-tier conferences (NeurIPs, CVPR and similar).

  • Proven track record of deploying ML models at scale in self-driving or related fields.

  • Experience with offboard, auto-labeling, or "data-engine" pipelines, including mining, curation, active learning, and ground-truth-free evaluation for large-scale datasets.

  • Hands-on experience with vision-language models (VLMs), world models, video prediction, or latent dynamics models for autonomous systems or robotics.

  • Experience leveraging foundation models across multiple platforms and sensor setups, including distilling larger models into efficient real-time variants.

  • Familiarity with production-level coding and deployment onto embedded platforms, optimizing for latency and hardware constraints.

  • Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation).

The base pay for this position ranges from $140,000 - $230,000 a year.
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
・Excellent health, wellness, dental and vision coverage
・A rewarding 401k program
・Flexible vacation policy
・Family planning and care benefits

Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.