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Remote Machine Vision Engineer Jobs in Louisiana

MasteryPrep

Engineering Team Lead

Baton Rouge, LA · Remote

$150K - $160K/yr

A reviewer's eye: you can read a large volume of code (human- or machine-written) quickly and catch ... Ability to work fully remote * Company supplied device/laptop

Harris

(Remote) Technical Consultant

Iowa, LA · On-site +1

Ability to review and analyze the following programming languages: VFP, C#, ASP.NET, and Powershell ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Harris

Ability to review and analyze the following programming languages: VFP, C#, ASP.NET, and Powershell ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Mortenson

Safety Engineer I & II- Power

Rayville, LA · Remote

$81K - $110K/yr

Medical and prescription drug plans that includes no additional cost vision coverage * Dental plan ... Gym Membership Discount Program #LI-LS1 #LI-REMOTE Please make note: * Visa sponsorship is not ...

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Remote Machine Vision Engineer information

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 key skills and qualifications needed to thrive as a remote machine vision engineer?

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 are popular job titles related to Remote Machine Vision Engineer jobs in Louisiana?

For Remote Machine Vision Engineer jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Remote Machine Vision Engineer jobs in Louisiana look for?

The top searched job categories for Remote Machine Vision Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Remote Machine Vision Engineer jobs?

Cities in Louisiana with the most Remote Machine Vision Engineer job openings:

Remote Machine Vision Engineer jobs near you

Engineering Team Lead

MasteryPrep

Baton Rouge, LA • Remote

$150K - $160K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago

Job description

Description
You will lead a small team of product engineers as a hands-on player-coach: shipping code yourself, unblocking others, and owning the health of both the product and the process. The core of the job is designing and running a development workflow where AI agents do a large share of the implementation work — and where human engineers remain firmly accountable for what ships. You will decide where agents are trusted, where humans must decide, and how we verify the difference.
We believe AI changes what engineers do, not whether they matter. Agents write a lot of our first drafts; engineers define the work, review every change, run acceptance testing, and give the final greenlight on every commit and merge. Humans stay accountable for everything that ships. If that division of labor sounds right to you — ambitious about automation, uncompromising about verification — you will like it here.

Key Responsibilities
  • Lead the team. Manage, mentor, and grow a team of product engineers. Run planning, set the product engineering strategy, and keep delivery predictable.
  • Own the AI-native process. Define how work is decomposed into agent-runnable tasks: kickoff prompts, acceptance criteria, UAT checkpoints, and completion reports. Continuously refine what works.
  • Keep humans in charge of what matters. Establish clear human-decision points — PR approval and merge, commit sign-off, and user acceptance testing — so AI output is always verified by an accountable engineer before it lands.
  • Ship product. Design, build, and maintain features with AI native engineering.
  • Own data and integrations. Steward our database architecture and the integrations that connect us to schools — SIS rostering pipelines (OneRoster, Clever, ClassLink) that get the right students into the right classes with the right data.
  • Set the quality bar. Testing standards, CI checks, review discipline, and security practices appropriate for a platform serving a million students a year.
  • Measure and improve. Track where AI-assisted development helps and where it hurts. Kill process that slows the team down; scale what makes it faster and safer.

Skills, Knowledge and Expertise
  • 7+ years of professional software engineering experience, including 2+ years leading engineers as a team lead or engineering manager while remaining hands-on.
  • Strong full-stack depth with React and TypeScript in production, plus solid back-end experience with Node.js or similar.
  • Real experience with Google Cloud Platform (Cloud Run, Cloud SQL, Pub/Sub, IAM, or comparable services) and with PostgreSQL — schema design, query performance, migrations.
  • Working fluency with AI-assisted development — you have used tools like Claude Code, Cursor, or Copilot on real production work, and you have opinions about where they excel and where they fail.
  • A reviewer’s eye: you can read a large volume of code (human- or machine-written) quickly and catch what matters.
  • Clear written communication — in an AI-native process, well-written task specs and prompts are engineering artifacts.
  • Judgment, pragmatism, and steady ownership under ambiguity.
Preferred Qualifications

  • Experience with education technology: SIS/rostering integrations (OneRoster, Clever, ClassLink), LMS ecosystems, or student data privacy (FERPA, COPPA).
  • Experience building or evaluating LLM-powered product features — prompt design, evals, guardrails.
  • Experience scaling engineering process at a growing company.

Benefits
  • $150,000 - $160,000 salary range
  • Employee benefits eligibility (health, disability, AD&D, life insurance).
  • Matching 401k
  • Paid time off
  • Generous paid holidays
  • Ability to work fully remote
  • Company supplied device/laptop