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Internship Applied Scientist Machine Learning Jobs in Idaho

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

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 ...

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 ...

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 ...

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All JobsApplied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning Jobs in Idaho

Internship Applied Scientist Machine Learning information

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Idaho?

For Internship Applied Scientist Machine Learning jobs in Idaho, the most frequently searched job titles are:

What job categories do people searching Internship Applied Scientist Machine Learning jobs in Idaho look for?

The top searched job categories for Internship Applied Scientist Machine Learning jobs in Idaho are:

What cities in Idaho are hiring for Internship Applied Scientist Machine Learning jobs?

Cities in Idaho with the most Internship Applied Scientist Machine Learning job openings:

Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Staff Machine Learning Engineer

Boise, ID • On-site

Micron Technology
Semiconductor and Electronic Component Manufacturing • 10K+ employees

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Paid breaks

Learn more about Micron Technologyexternal

Full-time

Re-posted 8 days ago

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.

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