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Remote Machine Vision Engineer Jobs in Pennsylvania

Computer Vision Engineer

Pittsburgh, PA · On-site +1

$110K - $165K/yr

You'll be responsible for software and machine learning model development of our on-camera and ... The role As a Computer Vision Engineer you will be responsible for creating the computer vision ...

$86.30K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Git, open source scientific computation, computer vision, modeling, or machine learning tools

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Under the mentorship of our R&D staff, you will utilize state-of-the-art tools in machine vision ...

This is a remote position. Job Overview Catalyx is seeking entrepreneurial, dedicated, and ... Position Catalyx's portfolio including real-time process control, robotics, machine vision, digital ...

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Remote Machine Vision Engineer information

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

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.
What are the most commonly searched types of Machine Vision Engineer jobs in Pennsylvania? The most popular types of Machine Vision Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Machine Vision Engineer jobs in Pennsylvania? For Remote Machine Vision Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Machine Vision Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Machine Vision Engineer jobs? Cities in Pennsylvania with the most Remote Machine Vision Engineer job openings:

Computer Vision Engineer

Aquabyte

Pittsburgh, PA • On-site, Remote

$110K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software.
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
The role
As a Computer Vision Engineer you will be responsible for creating the computer vision software pipelines to improve the intelligence and efficiency of our camera system. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Required Qualifications
  • BS/MS in relevant technical degree
  • 3+ years of experience with building computer vision software
  • Strong coding ability; strong grasp of Python
  • Experience with stereo vision, 3D reconstruction, and stereo calibration
  • Experience with training neural networks / deep learning (ideally pytorch)

Bonus Qualifications
  • Experience optimizing model inference for real-time inference on limited resources
  • Strong software engineering skills; knowledge of best practices, testing, and deployment
  • Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments
  • 3D data processing skills (voxelmap generation / reasoning)
  • Experience with Docker and cloud SW development (i.e. AWS)
  • Basic database interaction; knowledge of SQL

Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow

$110,000 - $165,000 a year
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.