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Scientific Machine Learning Jobs in Boise, ID (NOW HIRING)

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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Scientific Machine Learning information

See Boise, ID salary details

$13

$29

$49

How much do scientific machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for scientific machine learning in Boise, ID is $29.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $38.22 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

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

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Boise, ID?

For Scientific Machine Learning jobs in Boise, ID, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Boise, ID look for?

The top searched job categories for Scientific Machine Learning jobs in Boise, ID are:

Infographic showing various Scientific Machine Learning job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $62,314 per year, or $30 per hour.

Senior Principal ML Engineer: End-to-End AI/ML Systems

1000 Micron Technology, Inc.

Boise, ID โ€ข On-site

$119K - $164K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Micron Technology's Smart Manufacturing and AI team seeks a Principal Machine Learning Engineer to design, build, and deploy scalable ML solutions across manufacturing processes. You will lead end-to-end ML projects, mentor engineers, and drive Generative AI integration with robust data architectures. You will collaborate with Data Scientists, ML Engineers, Data Engineers, and product teams to deliver industry-leading AI/ML solutions, balancing performance with cost and ensuring #J-18808-Ljbffr