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Weekend Machine Vision Engineer Jobs in New York

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our ... Contribute your strong programming ability and experience to develop robust solutions for real ...

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 ...

... processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our ... Contribute your strong programming ability and experience to develop robust solutions for real ...

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 ...

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... Benefits * 100% coverage for health, dental, and vision. * 401(k) retirement plan. * In-office ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our ...

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Weekend Machine Vision Engineer information

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.

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 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 most commonly searched types of Machine Vision Engineer jobs in New York? The most popular types of Machine Vision Engineer jobs in New York are:
What cities in New York are hiring for Weekend Machine Vision Engineer jobs? Cities in New York with the most Weekend Machine Vision Engineer job openings:
Technical Customer Support Engineer Tier 3

Technical Customer Support Engineer Tier 3

UVeye

Teaneck, NJ • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.

With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of 250+ employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.

We’re looking for a Technical Customer Support Engineer Tier 3 for our Teaneck, NJ office to serve as the highest level of technical escalation for complex software, infrastructure, and system integration issues impacting UVeye’s inspection platforms. This role requires expertise in distributed systems, Linux environments, containerized applications, cloud infrastructure, and networking, along with the ability to perform advanced troubleshooting, root cause analysis, and cross-functional collaboration with Engineering, DevOps, and R&D teams to drive scalable, long-term solutions.


A day in the life and how you’ll make an impact:

  • Serve as the final escalation point for Tier 2 Support Engineers, Field Service Engineers (FSEs), and Customer Success Managers (CSMs), resolving the most complex and critical system incidents.
  • Perform advanced root-cause analysis (RCA) on intricate hardware/software interoperability issues, diagnosing problems across Linux operating systems, containerized environments (Docker/Kubernetes), and cloud platforms (AWS/GCP).
  • Work directly with Product, R&D, and DevOps teams to replicate persistent bugs, test software patches, and provide vital feedback on system stability and architecture.
  • Adopt a "System Builder" mindset by writing custom scripts (Python, Bash) to automate repetitive tasks and implement automated monitoring tools, reducing manual support overhead.
  • Analyze log files and network traffic to identify bottlenecks or failures in data pipelines and local IoT hardware setups.Create and standardize Standard Operating Procedures (SOPs) and technical documentation. Mentor and train Tier 1/2 agents to empower them to solve issues autonomously and improve first-touch resolution rates.

Requirements:
  • 3+ years of experience in advanced Technical Support (Tier 3), Systems Engineering, DevOps, or Site Reliability Engineering (SRE), ideally within a SaaS, IoT, or hardware/software integrated environment.
  • Deep, hands-on proficiency with Linux environments and advanced command-line troubleshooting.
  • Extensive experience managing, deploying, and troubleshooting applications using Docker and Kubernetes.
  • Strong understanding of advanced networking concepts (TCP/IP, HTTP, DNS, DHCP, routing, firewalls, and load balancers).
  • Proficiency in scripting languages (Bash, Python) for system automation and log analysis.
  • Operational understanding/experience with major cloud platforms (AWS, Azure, or GCP).
  • High comfort level operating within ticketing and CRM systems like Jira Service Management, Github and Salesforce.
  • Strong analytical problem-solving skills, ability to remain calm under pressure, and a team-oriented, customer-first mindset.


Ideally, we’re looking for:

  • Experience with deployment and Infrastructure as Code (IaC) tools such as Jenkins and Helm.
  • Background in machine vision, or AI-driven SaaS platforms.
  • Experience in a startup environment.
  • Experience supporting multi-functional Revenue organizations
  • Background working within SaaS, Automotive Technology, or Enterprise Hardware + Software environments
  • Familiarity with CRM and enablement platforms (Salesforce, LMS, knowledge systems)
  • Ability to translate technical product capabilities into business and operational outcomes
  • A builder mindset with comfort operating in high-growth environments


Benefits we offer:

  • Competitive Medical, Dental, Vision.
  • Company 401k Match.
  • 20 PTO days, Company paid holidays.
  • Career growth as we scale across the US.

Compensation:

UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $90,000 - $110,000.


Why UVeye:

  • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
  • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
  • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.


Check out our Life at UVeye page to learn more about the employee experience.

UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.