ZipRecruiter

Log In

1

Executive Full Stack Machine Learning Engineer Jobs in Orem, UT

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

NICE Systems

Senior Machine Learning Engineer

Sandy, UT · On-site

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

... full list of eligible US locations HERE). We will continue to hire and promote beyond the ... As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and ...

Crumbl

Full Stack Engineer

Provo, UT · On-site

The Full-Stack Engineer is responsible for developing, maintaining, and enhancing both front-end and back-end components of web applications related to Crumbl's supply chain and distribution systems.

Workstream

Software Engineer (Full Stack)

Lehi, UT · Hybrid

$100K - $140K/yr

We are seeking a talented Software Engineer (Full Stack) 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 ...

Workstream

Software Engineer (Full Stack)

Lehi, UT · Hybrid

$100K - $140K/yr

We are seeking a talented Software Engineer (Full Stack) 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 ...

Enzo Health

Senior Full Stack Engineer

Lehi, UT · On-site

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 ...

Workstream

Software Engineer (Full Stack)

Lehi, UT · On-site

$100K - $140K/yr

We are seeking a talented Software Engineer (Full Stack) 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 ...

Proofpoint

Full Stack Engineer

Draper, UT

... full-stack Software Engineer III on our Satori AI Platform team, you will be building the interfaces and APIs that our Fortune 500 customers use to deploy, monitor, and control AI security agents ...

Opiniion

Full-Stack Developer - Integrations

Lehi, UT · On-site

$70K - $140K/yr

Lehi, UT THE ROLE As a Full-Stack Developer at Opiniion, you'll help build and improve the products ... and keep learning. * Autonomous: you can take a well-scoped problem and drive it to done, while ...

next page

Showing results 1-20

All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Orem, UT

Executive Full Stack Machine Learning Engineer information

See Orem, UT salary details

$38.7K

$117.2K

$165.6K

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

As of Aug 18, 2026, the average yearly pay for executive 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 Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Orem, UT?

The most popular types of Full Stack Machine Learning Engineer jobs in Orem, UT are:

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

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

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

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

Executive Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Orem, UT • On-site

Full-time

Re-posted 2 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

Apply