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Remote Machine Vision Engineer Jobs in Austin, TX

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AI Engineer (Remote)

Austin, TX · On-site +1

... machine learning and generative AI models at enterprise scale. This role will also help define best ... Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and ...

David Joseph & Company

AI Engineer

Austin, TX · On-site +1

$140K - $200K/yr

AI Engineer Location: Remote (United States) Compensation: $140,000 - $200,000 base Visa ... About the Role As an AI Engineer, you will design, train, and deploy machine learning models and ...

Urrly

Junior Software Engineer (Remote)

Austin, TX · Remote

$85K - $115K/yr

Health, dental, and vision coverage. * PTO and paid holidays. * Direct coaching from engineering ... Remote-friendly role. * Austin, TX preferred for occasional in-person work, but not required.

Gainwell Technologies LLC

Expert AI Engineer

Austin, TX · On-site

$147K - $210K/yr

AI Model Development - Design, build, and train machine learning and deep learning models ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Numentica LLC

Frontend Engineer React and AWS

Austin, TX · Remote

$30 - $38/hr

Remote (EST Work Hours) Duration: 12 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C ... Familiarity with machine learning concepts. * Databricks exposure. * Experience with data ...

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All JobsRemote Machine Vision Engineer JobsRemote Machine Vision Engineer Jobs in Austin, TX

Remote Machine Vision Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do remote machine vision engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote machine vision engineer in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

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 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.
What are popular job titles related to Remote Machine Vision Engineer jobs in Austin, TX? For Remote Machine Vision Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Austin, TX look for? The top searched job categories for Remote Machine Vision Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Machine Vision Engineer jobs? Cities near Austin, TX with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer jobs near you
Infographic showing various Remote Machine Vision Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Contract, and 3% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.
AI Engineer (Remote)

AI Engineer (Remote)

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Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Location: Remote
Virtual, work-from-home position. Work anywhere in the US, must live in the US
ABOUT CONTINUED
A leader in EdTech, Continued is a team of passionate individuals dedicated to empowering professionals and enhancing careers. We are fast-paced, nimble, and we laugh a lot. We are proud to be certified as a great workplace, ranked #35 in Fortune's 2025 Best Medium Workplaces, ranked #18 in Fortune's 2025 top 25 Small & Medium Workplaces for Women, and ranked #74 in Fortune's 2024 Best Small & Medium Workplaces for Millennials by the independent analysts at Great Place to Work®. We are 100% virtual, scattered across the country, but we maintain a tight-knit culture driven by curiosity, a love of learning, and a desire to solve complex problems. Learn more about us at continued.com and parent company lacallegroup.com.
THE MISSION
We are seeking an experienced AI Engineer who is motivated, creative, and personable to join our dynamic team. This role requires a strong combination of technical expertise-particularly in software and AI-and real-world experience in building and deploying AI-powered systems. The ideal candidate will be focused on ensuring that technical AI solutions solve real-world problems and deliver measurable business outcomes. The AI Engineer will be responsible for moving models out of a notebook environment and integrating them into a live, scalable, and monitored system.
The AI Engineer will collaborate closely with other engineers and the broader DAIA team to operationalize machine learning and generative AI models at enterprise scale. This role will also help define best practices and guidelines for engineering teams.
WHAT YOU'LL DO (The Impact)
  • AI & Automation Discovery: Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
  • Build & Ship: Design, develop, and support AI & automation systems that drive measurable business outcomes-from initial scoping to production deployment.
  • Platform Engineering: Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
  • Data Pipelines & Model Integration: Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search.
  • Reliability & Security: Ensure the high availability, performance, and security of AI platform services.
  • Extensibility: Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation.
  • Communication & Alignment: Translate complex AI concepts for non-technical stakeholders and keep business goals front and center.
  • Stay Sharp: Keep pace with rapidly evolving AI models, frameworks, and research-and bring that knowledge back to the team.

WHO YOU ARE
  • Education: Bachelor's degree in Computer Science, Data Science, or a related field-or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice.
  • Experience: Minimum of 3-5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems.
  • Technical Skills:
    • Builder & Deployer: You don't just prototype-you ship. You have proven experience moving AI models out of notebooks and into live, scalable, monitored production systems.
    • AI & ML Practitioner: You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search-and know how to apply them to real business problems.
    • Pipeline Pro: You have strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on.
    • Software Craftsperson: You write production-ready code. OOP, clean architecture, testable systems-these aren't buzzwords to you, they're defaults.
    • Automation Native: You've worked with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom.
    • Strategic & Systems Thinker: You connect technical decisions to business outcomes. You can hold the big picture and the implementation detail at the same time.
    • Communicator: You're as comfortable in a stakeholder meeting as you are in a code review.
    • Ethics-First: You believe in responsible, transparent AI practices and bring that lens to everything you build.
    • Culture Fit: You thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting.
  • Preferred by Not Required:
    • Full-Stack Fluency: You've built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends-and you're comfortable managing data with Postgres or Redis.
    • Quantitative Thinker: You have a solid grounding in statistics, probability, and experimental design. You know how to evaluate model performance rigorously, design meaningful tests, and distinguish signal from noise.

ADDITIONAL REQUIREMENTS
  • Can work a full-time W2 position on core U.S. business hours in your time zone.
  • Ability to fulfill the job requirements with or without reasonable accommodations.
  • Must be located in the United States and be legally eligible to work for us without sponsorship.
  • Travel is required for an all-company meeting, and may be required once or twice per year for team or project meetings.
  • Occasional after-hours/on-call for emergency support and special events (generally less than four times per year).

We prefer an excited candidate with a great attitude and less experience to an unmotivated or unengaged candidate with tons of experience.
WHY JOIN US?
  • Work from home with a company-provided MacBook and internet stipend.
  • 21 days of flexible PTO + your birthday + holidays (with flexible substitution).
  • Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more.
  • 401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.

TO APPLY
To apply, please submit a cover letter with your application. In your cover letter, we'd love to hear about: 1) why you would make a great addition to our team, and 2) about a book you've read or video you've watched from which you learned something new or interesting.
By submitting your application, you acknowledge that we collect and process your personal information as described in our Applicant Privacy Notice. Please review the Notice before applying.

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