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Physics Informed Machine Learning Jobs in Utah (NOW HIRING)

Leash Bio

Machine Learning Engineer

Salt Lake City, UT · On-site

... informed decisions, take ownership of solutions, and drive projects forward in a startup ... Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in ...

Hexcel

R&D Data Scientist

Salt Lake City, UT · On-site

$80 - $110/hr

Develop, validate, and maintain digital twin models of key processes using machine learning and physics-informed or statistical approaches.* Collect, preprocess, and analyze large and complex ...

ICF

Senior Climate Analytics Specialist

Salt Lake City, UT · On-site

$84K - $103K/yr

Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches * Design, train, and ...

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 ... Stay informed of advances in speech AI, including transcription, text-to-speech, and speech-to ...

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 ... Stay informed of advances in speech AI, including transcription, text-to-speech, and speech-to ...

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 ... Stay informed of advances in speech AI, including transcription, text-to-speech, and speech-to ...

Pwc

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Snap Finance

Data Scientist III

West Valley City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer ...

Snap Finance US

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer ...

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Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Utah?

For Physics Informed Machine Learning jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Utah look for?

The top searched job categories for Physics Informed Machine Learning jobs in Utah are:

What cities in Utah are hiring for Physics Informed Machine Learning jobs?

Cities in Utah with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Utah as of August 2026, with employment types broken down into 6% Internship, 37% Full Time, 51% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Leash Bio

Salt Lake City, UT • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
• Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
• Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
• Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
• Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
• Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
• Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
• Comfortable building ML infrastructure
• Experience working with large amounts of text data, NLP, or training LLMs
• Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
• Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
• Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
• Ability to manage own compute cluster
• Ability to maximize GPU utilization and keep cluster busy 24/7
• Ability to analyze model results and kick off new experiments in response
• Experience with BERT or similar language models in PyTorch.
• Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.

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