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Entry Level Computer Vision Engineer Jobs in Lindenhurst, NY

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

Bonus: experience with computer vision pipelines, annotation tooling, or ML infrastructure * You have proof of your engineering ability through GitHub projects or work experience What You Might Work ...

... JMLR and Computer Vision (CVPR, ICCV, ECCV, TPAMI) * Prior work experience in the fields of mechanical, aerospace, civil engineering or other engineering domains * Experience working and ...

Collaborate with cross-functional teams, including hardware engineers, data scientists, and subject ... Familiarity with signal processing, computer vision, or machine learning concepts is highly ...

Prepare engineering plans, technical specifications, and CAD drawings using AutoCAD Civil 3D or ... vision coverage, 401(k) retirement plan with employer match, educational assistance program and ...

AI Engineer

New York, NY · On-site

$100K - $110K/yr

Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud ... Experience with LLMs, prompt engineering, or AI APIs (e.g., OpenAI) preferred * Strong problem ...

We are looking for a highly motivated and passionate Machine Learning Research Engineer to join our team who has expertise in machine learning, computer vision, and software engineering. This is a ...

Our machines integrate robotic manipulation, computer vision, AI, industrial controls, and embedded ... The Role This is a hybrid technician / field engineer role. Most of the time, you'll work hands-on ...

Our machines integrate robotic manipulation, computer vision, AI, industrial controls, and embedded ... The Role This is a hybrid technician / field engineer role. Most of the time, you'll work hands-on ...

Our machines integrate robotic manipulation, computer vision, AI, industrial controls, and embedded ... The Role This is a hybrid technician / field engineer role. Most of the time, you'll work hands-on ...

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

We are seeking a Machine Learning Engineer to work directly alongside our research scientists to ... You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning ...

Staff AI Research Engineer

New York, NY · On-site

$220K - $331K/yr

Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. * Strong background in training and fine-tuning large models in an applied setting.

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

We are seeking a Machine Learning Engineer to work directly alongside our research scientists to ... You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning ...

Showing results 41-60

Entry Level Computer Vision Engineer information

See Lindenhurst, NY salary details

$50K

$125.2K

$141.7K

How much do entry level computer vision engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level computer vision engineer in Lindenhurst, NY is $125,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $135,500.00 per year, depending on experience, location, and employer.

What does an entry level computer vision engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an entry level computer vision engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What cities near Lindenhurst, NY are hiring for Entry Level Computer Vision Engineer jobs?

Cities near Lindenhurst, NY with the most Entry Level Computer Vision Engineer job openings:

Infographic showing various Entry Level Computer Vision Engineer job openings in Lindenhurst, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $125,207 per year, or $60.2 per hour.

ML Engineer

Visia

New York, NY • On-site, Remote

$170K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

Machine Learning Engineer @ Visia
New York, NY (Hybrid/In-person)
About Us
Visia is the first multimodal AI platform custom built for heavy industry. Visia's full-stack physical intelligence platform includes robust sensing systems across imaging modes (cameras, X-rays, cargo X-rays, LiDAR), foundation vision-language models that convert raw sensor data into structured operational intelligence, and software-driven Field Engineering that drives real transformation on-site at some of the world's largest industrial operations.
We deploy our hardware systems powered by our model flywheel across recycling facilities, steel mills, aluminum smelters, ports, and waste-to-energy plants, processing over 1 billion data points a year. When customers adopt Visia they aren't buying a point solution - they are parting with a platform business that turns unstructured optical data into real-time, actionable intelligence for their operations.
What We're Looking For
We're looking for a Platform Engineer to own and accelerate Visia's data flywheel - the engine that makes our fine-tuned models smarter with every deployment. You'll primarily build the tooling and automation that powers our annotation, model training, and data pipelines, ensuring that every image we process makes Solstice better at understanding the physical world.
This is a high-leverage role. The systems you build directly determine how fast we can onboard new customers, new sensor modalities, and new industry verticals. You'll also pitch in on custom Field Engineering implementations when needed and contribute to internal agentic tooling that helps the team move faster.
Responsibilities
  • Data Flywheel & Model Tooling
    • Automate and improve our instance-segmentation and vision-language model annotation tooling, creating smooth, efficient workflows for our annotators and model managers
    • Build and maintain the pipelines that move data from deployed sensors → annotation → model training → production deployment
    • Develop tooling for model performance monitoring, error analysis, and continuous improvement across customer sites
    • Work closely with ML engineers to accelerate the feedback loop between deployed models and training infrastructure
  • Field Engineering Support
    • Contribute to custom Visia implementations for enterprise customers - building integrations with scale systems, ERPs, PLCs, and customer-specific reporting
    • Support Forward Deployed Engineering (FDE) engagements by building reusable tooling and templates that make each deployment faster than the last
    • Help translate customer operational needs into technical specifications and working softwareInternal
  • Tooling & Automation
    • Build agentic tooling to accelerate GTM workflows - automated sales deck generation, customer research, and outreach
    • Collaborate with the CEO on automating operational workflows
    • Contribute to Visia's overall product roadmap and help shape the future of physical intelligence in heavy industry
Who You Are
  • You have strong programming skills in one or more commonly used programming languages (we use Python, TypeScript, and Go)
  • You move fast, ship iteratively, and care about building things that actually work in production
  • You're comfortable working with at least some of the following and eager to learn the rest:
    • Python backend development (Flask, FastAPI)
    • Frontend development (React / React Native)
    • Cloud computing (GCP, AWS, or Azure)
    • CI/CD, IaC, and containerization (Docker, Terraform, GitHub Actions)
    • Databases (SQL, dbt, Postgres, ClickHouse)
  • Bonus: experience with computer vision pipelines, annotation tooling, or ML infrastructure
  • You have proof of your engineering ability through GitHub projects or work experience
What You Might Work On
  • Building automated annotation pipelines that use SAM and vision-language models to pre-label datasets, cutting model iteration cycles by 5-10x
  • Creating model performance dashboards that surface accuracy regressions across customer sites before they become customer issues
  • Integrating Visia with a customer's scale system to automate compliance reporting they currently do by hand
  • Building an internal agent that generates customized sales decks from customer research and Visia's deployment playbooks
Compensation & Benefits
  • Compensation: $140,000-$155,000/yr + ~$30,000/yr in equity ($170,000-$185,000/yr)
  • Health, Vision, Dental + 401(k)
  • Flexible + Unlimited PTO