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Remote Full Stack Machine Learning Engineer Jobs in Lafayette, LA

GOLFBALLS.COM

Full Stack Engineer

Lafayette, LA · On-site +1

AI Enhanced- Full Stack Engineer Build the Future of Golf E-Commerce About Golfballs.com Golfballs ... Professional development and learning opportunities * Hybrid/remote work flexibility for eligible ...

Aggreko

Senior Electrical Engineer

New Iberia, LA · On-site +1

$87K - $113K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely ... air machinery, power and control systems, HVAC, microgrid & storage and more * Safety-focused ...

Aggreko

Senior Application Engineer

New Iberia, LA · On-site +1

From world-class events that last a few weeks to mining operations and remote communities who rely ... machinery and equipment design. Uses computer assisted engineering and design software and ...

Talkiatry

Psychiatrist (Remote)

Lafayette, LA · Remote

$325K - $375K/yr

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Talkiatry

Psychiatrist (Remote)

Lafayette, LA · Remote

$325K - $375K/yr

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Talkiatry

Psychiatrist

Lafayette, LA · Remote

$325K - $375K/yr

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Talkiatry

Psychiatrist

Lafayette, LA · Remote

$325K - $375K/yr

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Lafayette, LA

Remote Full Stack Machine Learning Engineer information

See Lafayette, LA salary details

$42.5K

$128.7K

$181.9K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote full stack machine learning engineer in Lafayette, LA is $128,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $150,900.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Lafayette, LA look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Lafayette, LA are:
What cities near Lafayette, LA are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Lafayette, LA with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you

Full Stack Engineer

GOLFBALLS.COM

Lafayette, LA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

AI Enhanced- Full Stack Engineer

Build the Future of Golf E-Commerce


About Golfballs.com

Golfballs.com is the World Leader in Golf Customization. We customize and ship more than 300,000 personalized golf balls every week using our proprietary visualization, personalization, and fulfillment platform. In addition to golf balls, we offer a complete selection of clubs, apparel, shoes, accessories, and equipment from the industry's leading brands.

Technology is at the heart of everything we do. Our engineering team develops the software that powers our customer experience, manufacturing processes, and internal business operations. We're looking for a Full Stack Engineer who enjoys solving challenging problems, building scalable applications, and creating software that has a measurable impact across the business.

This position may be based in our Lafayette, Louisiana headquarters or performed remotely within Louisiana.


What You'll Do

As a Full Stack Engineer, you'll work across the entire technology stack to develop software that supports millions of customer interactions and critical internal operations. You'll collaborate with Product, Operations, Customer Experience, and fellow Engineers to build innovative solutions that improve efficiency, scalability, and the customer experience.

Responsibilities

  • Design, develop, test, and maintain modern full-stack web applications.
  • Build intuitive, responsive user interfaces using React and Next.js.
  • Develop scalable backend APIs and services using Node.js.
  • Design software solutions that are secure, performant, maintainable, and scalable.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Participate in architecture discussions and contribute ideas that improve our technology platform.
  • Troubleshoot production issues, identify root causes, and implement long-term solutions.
  • Write clean, well-tested, maintainable code following engineering best practices.
  • Create and maintain technical documentation that supports long-term maintainability.
  • Participate in sprint planning, provide development estimates, and accurately track work.
  • Continuously improve development processes, coding standards, and system performance.


AI-Enabled Engineering

At Golfballs.com, we believe AI is transforming software development. We encourage engineers to responsibly leverage modern AI-powered development tools to improve productivity, accelerate development, assist with testing and documentation, and explore technical solutions.

AI is expected to enhance engineering-not replace engineering judgment. Engineers are responsible for validating AI-generated code, maintaining security and quality standards, and ensuring every solution is reliable, maintainable, and production-ready.

We value engineers who continually learn, evaluate emerging technologies, and thoughtfully incorporate AI into their daily workflow.


Qualifications


Required

  • 2+ years of professional experience developing full-stack web applications.
  • Experience building modern web applications using React and/or Next.js.
  • Experience developing backend services using Node.js.
  • Strong JavaScript skills (TypeScript experience is a plus).
  • Experience designing and consuming RESTful APIs.
  • Experience using Git in a collaborative development environment.
  • Strong analytical, troubleshooting, and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Demonstrated ownership mindset with the ability to independently identify problems, recommend solutions, and drive work to completion.


Preferred

  • Bachelor's degree in Computer Science or a related field.
  • Experience with AWS cloud services.
  • Experience with DynamoDB, NoSQL databases, or Microsoft SQL Server.
  • Experience with CI/CD pipelines and automated testing.
  • Familiarity with Docker or containerized development environments.
  • Experience working within Agile or Scrum teams.
  • Experience supporting or building e-commerce applications.
  • Experience with Shopify apps and ecosystems.


What Makes You Successful

Successful engineers at Golfballs.com:

  • Act like owners by taking responsibility for outcomes-not just assigned tasks.
  • Think critically and solve complex technical challenges.
  • Deliver high-quality software with attention to detail.
  • Continuously learn and embrace new technologies.
  • Use AI responsibly to improve effectiveness while maintaining engineering excellence.
  • Communicate openly and collaborate effectively across teams.
  • Take initiative to improve systems, processes, and the customer experience.
  • Balance speed with quality and long-term maintainability.


Why Join Golfballs.com?

You'll have the opportunity to build software that directly impacts customers, manufacturing operations, and the continued growth of one of the most recognized brands in golf customization.

We value innovation, collaboration, continuous improvement, and engineers who are excited to make a meaningful impact from day one.

Our Core Values

  • Teamwork
  • Act Like an Owner
  • Innovation
  • Exceeding Expectations
  • Positive Energy


Benefits

Golfballs.com offers a competitive benefits package designed to support our team members and their families.

Benefits include:

  • Competitive salary
  • Medical, dental, and vision insurance
  • Paid time off and company holidays
  • 401(k)
  • Employee discounts on Golfballs.com products
  • Professional development and learning opportunities
  • Hybrid/remote work flexibility for eligible Louisiana-based employees



Ready to Join Our Team?

If you're passionate about building modern software, solving meaningful technical challenges, and using AI responsibly to create exceptional products and experiences, we'd love to hear from you.

Apply today and help shape the future of Golfballs.com.

Employment Type: FULL_TIME

Apply