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Freelance Full Stack Machine Learning Engineer Jobs in Orem, UT

About the role We're looking for a high-impact Senior Full Stack Engineer to help build and scale the core infrastructure powering Enzo Health. You'll work across the stack to develop fast, reliable ...

Senior/Staff Full Stack Engineer

Lehi, UT ยท Hybrid

$140K - $170K/yr

We are seeking a talented Full Stack Engineer to join our growing engineering team. This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional ...

New

Senior Full Stack Engineer Canopy, Draper, UT- Remote About Us Canopy is a fast-growing SaaS ... Interested in learning more about Canopy & the industry? Check out our blog here where you can find ...

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using Java and React. We need collaborative, energetic team members who are capable of becoming experts in ...

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using Java and React. We need collaborative, energetic team members who are capable of becoming experts in ...

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using Java and React. We need collaborative, energetic team members who are capable of becoming experts in ...

Senior Engineer - Machine Learning

Midvale, UT ยท On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... To achieve these goals, we are committed to the full inclusion of all qualified individuals ...

LOCATION: Lehi, UT THE ROLE As a Full-Stack Developer at Opiniion, you'll help build and improve the products our customers use every day, working across the stack to ship features, improve ...

Showing results 21-40

Freelance Full Stack Machine Learning Engineer information

See Orem, UT salary details

$38.7K

$117.2K

$165.6K

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

As of Sep 14, 2026, the average yearly pay for freelance full stack machine learning engineer in Orem, UT is $117,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $137,400.00 per year, depending on experience, location, and employer.

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

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Orem, UT?

For Freelance Full Stack Machine Learning Engineer jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Orem, UT look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Orem, UT are:

Machine Learning Engineer New Grad 2024-2025 -Remote

Orem, UT โ€ข On-site

Quora
Internet and ITย โ€ขย 501 - 1,000 employees

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago


Key responsibilities

  • Improve existing Machine Learning systems using expertise.

  • Identify new opportunities to apply Machine Learning to different parts of the Poe product.

  • Work with other engineers to implement algorithms and systems in an efficient way.


Job description

About Quora:

Quoraโ€™s mission is to grow and share the worldโ€™s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's โ€œcoordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the worldโ€™s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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