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Quantitative Researcher Machine Learning Jobs in Springville, UT

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and ... quantitative field with a strong data focus. * Proficient in Python and familiar with ML libraries ...

This person will interact with teams from Account Management to Application Engineering and R&D, to ... of machine learning and analytic technology toHealthcare, producing quantitative, justifiable ...

This person will interact with teams from Account Management to Application Engineering and R&D, to ... of machine learning and analytic technology toHealthcare, producing quantitative, justifiable ...

This person will interact with teams from Account Management to Application Engineering and R&D, to ... of machine learning and analytic technology to Healthcare, producing quantitative, justifiable ...

This person will interact with teams from Account Management to Application Engineering and R&D, to ... of machine learning and analytic technology toHealthcare, producing quantitative, justifiable ...

This person will interact with teams from Account Management to Application Engineering and R&D, to ... of machine learning and analytic technology to Healthcare, producing quantitative, justifiable ...

This person will interact with teams from Account Management to Application Engineering and R&D, to ... of machine learning and analytic technology toHealthcare, producing quantitative, justifiable ...

... of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning • Translates real-world Healthcare problems to mathematical ...

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g ... Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of ...

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g ... Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g ... Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of ...

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

Understanding of machine learning techniques, specifically involving supervised learning applied to ... Degree ina quantitative fieldlike statistics, economics, applied math, operations research or ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Research advanced modeling and AI techniques to improve predictive modeling and maintain business ... other quantitative fields * Advanced machine learning modeling and/or technical expertise in ...

... solid research in the academic and industry practice. * Perform other duties and/or special ... Experience with Machine Learning / AI methodologies and related applications, including generative ...

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Quantitative Researcher Machine Learning information

See Springville, UT salary details

$48.8K

$110.8K

$182.8K

How much do quantitative researcher machine learning jobs pay per year?

As of Aug 4, 2026, the average yearly pay for quantitative researcher machine learning in Springville, UT is $110,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $141,800.00 per year, depending on experience, location, and employer.
What cities near Springville, UT are hiring for Quantitative Researcher Machine Learning jobs? Cities near Springville, UT with the most Quantitative Researcher Machine Learning job openings:
Infographic showing various Quantitative Researcher Machine Learning job openings in Springville, UT as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,827 per year, or $53.3 per hour.

Machine Learning Engineer

Bespoke Labs

Orem, UT • On-site

Full-time

Re-posted 18 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