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Founding Machine Learning Engineer Jobs in American Fork, UT

Sr. Applied AI Engineer

Salt Lake City, UT ยท On-site

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

Sr. Applied AI Engineer

Salt Lake City, UT ยท On-site

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

Head of Academics and Learning Engineering

Lehi, UT ยท On-site

  • Medical

  • Dental

  • Vision

  • PTO

... founding team that also includes Emmy Award winners. With a strong culture centered around high ... About the role The Head of Academics & Learning Engineering will lead the design and development of ...

AI Engineer

Salt Lake City, UT ยท On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Data Scientists

Salt Lake City, UT ยท On-site

$75K - $105K/yr

  • Retirement

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

Data Scientists

Salt Lake City, UT ยท On-site

  • Retirement

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

New

AI Solutions Engineering Delivery Lead

Salt Lake City, UT

$99K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

New

Senior AI/ML Engineer

Draper, UT ยท On-site

$100 - $130/hr

  • Medical

  • PTO

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ... Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication ...

CTIO AI Engineering Manager

Salt Lake City, UT ยท On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Junior AI Engineer

Salt Lake City, UT ยท On-site

  • Retirement

  • PTO

Understanding of machine learning fundamentals and Generative AI concepts * Hands-on experience working with Large Language Models (LLMs), including prompt engineering techniques * Experience ...

Showing results 41-60

Founding Machine Learning Engineer information

See American Fork, UT salary details

$28.2K

$115.1K

$173K

How much do founding machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for founding machine learning engineer in American Fork, UT is $115,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,600.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

Are founding machine learning engineers still in demand?

Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.

What are popular job titles related to Founding Machine Learning Engineer jobs in American Fork, UT?

For Founding Machine Learning Engineer jobs in American Fork, UT, the most frequently searched job titles are:

What job categories do people searching Founding Machine Learning Engineer jobs in American Fork, UT look for?

The top searched job categories for Founding Machine Learning Engineer jobs in American Fork, UT are:

What cities near American Fork, UT are hiring for Founding Machine Learning Engineer jobs?

Cities near American Fork, UT with the most Founding Machine Learning Engineer job openings:

Infographic showing various Founding Machine Learning Engineer job openings in American Fork, UT as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $115,104 per year, or $55.3 per hour.

Junior Machine learning/AI Engineer/Data Scientist

SynergisticIT

South Jordan, UT โ€ข On-site

Other

Posted 16 days ago


Job description

Your Degree Was Only the Beginning โ€” Now Itโ€™s Time to Get Hired - Get Hired with a Process which Works ! A CS degree gives you a foundation, but employers want more โ€” they want proof you can apply your knowledge in realโ€‘world scenarios. SynergisticIT helps you bridge that gap. Youโ€™ll build industryโ€‘level projects, sharpen your interview skills, and gain handsโ€‘on experience in the technologies companies are hiring for right now. The program also markets your profile directly to Fortune 500 clients ,giving you visibility beyond what a degree alone can provide. If you want to turn your education into a real job offer, Synergisticit is the next step you need. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: โ€œalmost hiredโ€ over and over again, while the confidence drops. The truth is that interviewing is its own skill, and Colleges donโ€™t teach it. They teach how to codeโ€”but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you donโ€™t know what the interview is truly measuring. Interviews rarely test โ€œcan you write code at home.โ€ They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is โ€œI reach interviews but donโ€™t clear them,โ€ you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You donโ€™t need to be perfectโ€”you need to show you can think, collaborate, and deliver. Thatโ€™s why guided mock interviews and structured interview coaching can be a game-changer. Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in โ€œscreen round limboโ€ Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who havenโ€™t interviewed in years and feel rusty Career changers who fear โ€œIโ€™m behind CS gradsโ€ (often untrue with support) If youโ€™re tired of failing interviews and want a structured plan to convert interviews into offers, start here: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Because getting hired isnโ€™t about trying harderโ€”itโ€™s about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.