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Weekend Machine Vision Engineer Jobs in New York

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ... vision (especially OCR), or linear optimization problems * Experience with any of the following ...

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across ... Medical, Dental, and Vision insurance * 100% company paid premiums * Unlimited Paid Time Off * 26 ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we ... Experience with embedded systems and machine learning programing * platforms including TensorFlow ...

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across ... Medical, Dental, and Vision insurance * 100% company paid premiums * Unlimited Paid Time Off * 26 ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we ... Experience with embedded systems and machine learning programing * platforms including TensorFlow ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we ... Experience with embedded systems and machine learning programing * platforms including TensorFlow ...

Showing results 41-60

Weekend Machine Vision Engineer information

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

How much do weekend machine vision engineers make?

Weekend machine vision engineers typically earn between $25 and $50 per hour, depending on experience, location, and the complexity of projects. Compensation may also include benefits such as flexible scheduling and opportunities to work with advanced imaging tools and programming languages like Python or C++.
Infographic showing various Weekend Machine Vision Engineer job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

New York, NY • On-site

$114K - $156K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 20 days ago


Key responsibilities

  • Design, build, and deploy machine learning models for video understanding and multimodal systems

  • Develop capabilities for creative workflows, including VFX, storyboarding, and color grading

  • Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment


Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

At HBO Max, storytelling takes center stage. We're one of the world's most iconic entertainment brands - home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what's next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.

HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally- and we're just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career- we're hiring!

Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

Job Description

What We Do

We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content.

We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows.

What You'll Do

  • Design, build, and deploy machine learning models for video understanding and multimodal systems
  • Develop capabilities for creative workflows, including VFX, storyboarding, and color grading
  • Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment
  • Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models
  • Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows
  • Contribute to scalable systems for processing and understanding large volumes of video content
  • Prototype quickly while also building robust, production-ready systems

Qualifications & Experience

  • 4+ years of experience in machine learning, with a focus on computer vision or video
  • Master's or PhD in Computer Science, Machine Learning, or a related field
  • Strong experience with deep learning frameworks (PyTorch and/or TensorFlow)
  • Strong programming skills (Python) and solid computer science fundamentals
  • Experience with video models (e.g., segmentation, tracking, scene understanding, temporal modeling)
  • Familiarity with multimodal systems (vision + language, embeddings, retrieval)
  • Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks
  • Ability to implement and adapt algorithms from recent research in computer vision (especially video)
  • Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer)
  • Experience building end-to-end ML pipelines (data, training, evaluation, deployment)
  • Experience working with large-scale datasets and distributed systems
  • Ability to translate ambiguous problems into clear technical solutions
  • Strong collaboration and communication skills across technical and non-technical teams

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $150,640.00 - $279,760.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.