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

junior software programmer full stack

Boise, ID ยท On-site

$63K - $82K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Data Scientist III

Boise, ID ยท On-site

$110 - $165/hr

... scientific research backgrounds are encouraged to apply * 5+ years industry related experience and/or training * Demonstrates an in-depth understanding of key analytical/machine learning/artificial ...

Sr Data Scientist

Boise, ID ยท On-site

$90 - $120/hr

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from ... Develop predictive models using machine learning techniques (regression, classification, clustering ...

Summary As a Data Scientist with Simplot, you will leverage your expertise in statistics, machine learning and AI to develop solutions that solve complex business and operational problems. You will ...

Summary As a Data Scientist with Simplot, you will leverage your expertise in statistics, machine learning and AI to develop solutions that solve complex business and operational problems. You will ...

... scientific research backgrounds are encouraged to applyRelevant Experience5+ years industry related experience and/or trainingDemonstrates an in-depth understanding of key analytical/machine learning ...

Summary As a Data Scientist with Simplot, you will leverage your expertise in statistics, machine learning and AI to develop solutions that solve complex business and operational problems. You will ...

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. * 8+ years of experience in AI/ML engineering, systems architecture, research ...

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. * 8+ years of experience in AI/ML engineering, systems architecture, research ...

AI Technical Lead

Meridian, ID ยท On-site

$118.51 - $177.76/hr

Develop and deploy machine learning and generative AI solutions that support enterprise use cases ... Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely ...

AI/ML Engineer/Architect

Boise, ID ยท On-site

$140 - $210/hr

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. * 8+ years of experience in AI/ML engineering, systems architecture, research ...

Showing results 21-40

Scientific Machine Learning information

See Boise, ID salary details

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$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.

junior software programmer full stack

SynergisticIT

Boise, ID โ€ข On-site

$63K - $82K/yr

Other

Posted 11 days ago


Job description

Future Java, Data, and AI Professionals โ€” Start Your Tech Career With a Process If you are serious about launching a career in tech, do not rely only on random applications, scattered tutorials, or hope. The candidates who stand out usually have current skills, strong projects, interview confidence, and a clear story about the value they can bring. That is especially important in competitive entry-level and junior hiring. Since 2010, weโ€™ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelorโ€™s or Masterโ€™s programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ 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/ SynergisticIT is looking for candidates interested in entry-level software programming, Java full-stack development, Python/Java development, DevOps, data analysis, BI, data engineering, data science, machine learning, and AI programming. This opportunity is ideal for recent graduates, bootcamp graduates, career changers, laid-off candidates, and job seekers with limited experience. SynergisticIT JOPP is good for candidates because it is built around job readiness and placement-focused preparation. It helps candidates strengthen technical skills, build project proof, improve resume positioning, prepare for interviews, and approach the job market with a structured plan. Start your tech career with a processโ€”not guesswork. 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.