ZipRecruiter

Log In

1

Scientific Machine Learning Jobs in Idaho (NOW HIRING)

Micron Technology

Staff Machine Learning Engineer

Boise, ID · On-site

$120 - $150/hr

Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enable to deliver industry-winning machine learning solutions to power Micron's dominance in ...

Micron

Principal Machine Learning Engineer

Boise, ID · On-site

Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enabletodeliver industry-winning machine learning solutions to power Micron's dominance in ...

New

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enabletodeliver industry-winning machine learning solutions to power Micron's dominance in ...

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

May telecommute part-time. Employer will accept a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or related field and 3 years of experience in the job offered or in ...

Varsity Tutors

Machine Learning Tutor

Rexburg, ID · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SwiftCruit

Machine Learning Engineer

Boise, ID · On-site

$110 - $150/hr

You will work with data scientists to develop requirements for novel algorithms, and with operations and other developers to bring data transformation pipelines and machine learning models to ...

Varsity Tutors

Machine Learning Tutor

Idaho Falls, ID · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

next page

Showing results 1-20

All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Idaho

Scientific Machine Learning information

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 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 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 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 Idaho?

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

What job categories do people searching Scientific Machine Learning jobs in Idaho look for?

The top searched job categories for Scientific Machine Learning jobs in Idaho are:

What cities in Idaho are hiring for Scientific Machine Learning jobs?

Cities in Idaho with the most Scientific Machine Learning job openings:

Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Staff Machine Learning Engineer

Micron Technology

Boise, ID • On-site

Full-time

Re-posted 24 days ago

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

Job Summary:
Micron Technology is a world leader in innovating memory and storage solutions. They are seeking a Staff Machine Learning Engineer to deliver industry-winning machine learning solutions for their manufacturing processes, collaborating with various teams to build and deploy scalable AI/ML solutions.
Responsibilities:
• Analyze large datasets to uncover patterns, trends, and insights that inform and improve machine learning models.
• Design, build, and continuously refine ML models to address business challenges and enhance product capabilities.
• Stay ahead of advancements in AI/ML and integrate emerging techniques into the MLOps lifecycle.
• Build and maintain robust, scalable data pipelines and infrastructure to support model training and deployment.
• Collaborate on data preprocessing and feature engineering to improve input data quality and model performance.
• Design and optimize data architectures across cloud platforms (Snowflake, GCP, Azure) for AI/ML use cases.
• Develop custom applications and implement CI/CD pipelines to support efficient ML solution deployment.
• Deploy, evaluate, and monitor models in production, balancing performance with cost efficiency and enabling continuous improvement.
• Partner with Product and Engineering teams to define and execute Generative AI integration strategies and roadmaps.
• Communicate insights and collaborate multi-functionally, translating complex analytics into actionable recommendations for diverse collaborators.
Qualifications:
Required:
• Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning with 3+ years building end-to-end ML systems on cloud platforms, automating model training, testing, and deployment.
• Strong experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and core techniques including regression, classification, deep learning, reinforcement learning, and generative AI.
• Proficient in Python or Java, with experience developing APIs and event-driven pipelines using Kafka, Pub/Sub, or similar messaging systems.
• Skilled in scalable data engineering, including ETL/ELT pipelines (Kubeflow, Airflow, Dataflow), SQL, and data architecture design.
• Hands-on experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined with strong analytical, communication, and collaboration skills.
Preferred:
• Strong foundation in machine learning and deep learning, with solid grounding in probability and statistics.
• Proven ability to productionize data science prototypes into scalable, real-world solutions.
• Hands-on experience building Generative AI solutions and intelligent agents (LangChain/LangGraph, CrewAI, DsPy, Semantic Kernel, ADK).
• Expertise in semantic search and retrieval systems, including RAG, GraphRAG, NLP, prompt engineering, and LLM fine-tuning/evaluation.
• Experience with end-to-end data and engineering workflows: ETL pipelines, big data processing, databases (BigQuery, Snowflake, MSSQL, PostgreSQL), and CI/CD tools (Git, Docker, Kubernetes, Jenkins).
Company:
Micron Technology is a semiconductor company that produces DRAM, SDRAM, flash memory, SSD and CMOS image sensing chips. Founded in 1978, the company is headquartered in Boise, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Micron Technology employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply