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

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

Hands-on experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined ... Strong foundation in machine learning and deep learning, with solid grounding in probability and ...

Micron

AI/ML Engineer/Architect

Boise, ID · On-site

Partner with firmware, validation, product engineering, business operations, and software ... Stay current on advancements in machine learning, large language models, agent frameworks, and AI ...

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Machine Learning Operations information

See Boise, ID salary details

$20

$37

$58

How much do machine learning operations jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for machine learning operations in Boise, ID is $37.97, according to ZipRecruiter salary data. Most workers in this role earn between $31.78 and $40.29 per hour, depending on experience, location, and employer.

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

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks among well-paying tech jobs.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $78,971 per year, or $38 per hour.

Staff Machine Learning Engineer

Micron

Boise, ID • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 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 159 rated electronics manufacturers

Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

The Smart Manufacturing and AI team at Micron Technology is looking for an ambitiousMachine LearningEngineer. Are you curious, high velocity, and ready to solve complex problems? 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 the highlycompetitivememory solutions market. Qualified applicants willhave experiencein a variety of dataand cloudtechnologies and have extensive practice modeling data, querying, anddeployingscalable pipelinestoexecute machine learning models. You will collaborate with Data Scientists,MLEngineers, DataEngineers, andexpert userstobuild and deployscalableAI/ML solutions that drive value and insight fromMicron'smanufacturing processes and systems.

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.

Minimum Qualifications:

  • 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 Qualifications:

  • 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).

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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