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Machine Manager Jobs in Idaho (NOW HIRING)

Lathe Machinist

Boise, ID · On-site

$19.50 - $25.75/hr

Manage material inventory and work orders in your area. * Maintain safe operations by adhering to ... wiping down machine). * Measure and analyze production parts frequently to ensure quality.

... machine utilization, tooling performance, quality, yield, and workflow. Safety, Quality, and Team Performance * Follow company safety, ISO, and Quality Management System requirements during setup ...

CNC Machinist

Boise, ID · On-site

$19 - $26/hr

Manage material inventory and work orders in your area. * Maintain safe operations by adhering to ... wiping down machine). * Measure and analyze production parts frequently to ensure quality.

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CNC Machinist

Boise, ID · On-site

$30 - $35/hr

Experienced CNC machinist capable of managing setups and running close tolerance machined parts. 10 years or more of experience required. This position is for vertical 3 axis CNC machines. We are a ...

Showing results 21-40

Machine Manager information

What does a machine manager do?

A Machine Manager oversees the operation, maintenance, and performance of machinery within an industrial or manufacturing setting. They are responsible for ensuring machines run efficiently, scheduling regular maintenance, troubleshooting technical issues, and supervising machine operators. Additionally, Machine Managers often monitor production output, enforce safety standards, and work to optimize processes to reduce downtime and improve productivity. Their role is crucial in maintaining smooth operations and meeting production goals.

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

To thrive as a Machine Manager, you need a solid background in mechanical engineering, production processes, and equipment maintenance, typically supported by relevant technical training or a degree. Familiarity with manufacturing software (such as ERP/MES systems), maintenance management tools, and safety certifications like OSHA are usually required. Strong leadership, problem-solving, and effective communication skills help a Machine Manager lead teams and coordinate with other departments. These competencies ensure optimal machine performance, reduced downtime, and a safe, efficient production environment.

What are some common challenges faced by a machine manager and how can they be addressed?

Machine Managers often encounter challenges such as equipment downtime, coordinating maintenance schedules, and ensuring optimal productivity from both machines and operators. To address these, proactive maintenance planning, regular training for team members, and clear communication with other departments are essential. Building a strong rapport with maintenance and engineering teams can help quickly resolve technical issues and keep production running smoothly.

What is the difference between Machine Manager vs Equipment Supervisor?

AspectMachine ManagerEquipment Supervisor
CredentialsTypically requires technical certifications or experience in machinery operation and maintenanceOften requires similar technical certifications, with additional supervisory or leadership training
Work EnvironmentWorks directly with machinery, overseeing machine performance and maintenanceSupervises equipment staff, manages maintenance schedules, and ensures operational efficiency
Industry UsageCommon in manufacturing, production, and industrial settingsFound in manufacturing, construction, and industrial sectors

The Machine Manager focuses on overseeing the operation and maintenance of machinery, ensuring optimal performance. The Equipment Supervisor manages staff and schedules related to equipment, emphasizing team coordination and operational efficiency. Both roles require technical knowledge, but their primary responsibilities differ in scope and focus.

What are the most commonly searched types of Machine jobs in Idaho?

The most popular types of Machine jobs in Idaho are:

What cities in Idaho are hiring for Machine Manager jobs?

Cities in Idaho with the most Machine Manager job openings:

Principal Machine Learning Engineer

Micron Technology, Inc

Boise, ID • On-site

$150 - $210/hr

Other

Medical, Dental, Vision, PTO

Posted 11 days ago


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

28th of 159 rated electronics manufacturers


Job description

Req ID: JR106544 Principal Machine Learning Engineer

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 ambitious Machine Learning Engineer. 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 enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market! As a Principal Machine Learning Engineer, will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models.

You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.

Responsibilities:
  • Design, build, and continuously refine ML models to address business challenges and enhance product capabilities.
  • Analyze large datasets to uncover patterns, trends, and insights that inform and improve machine learning models.
  • 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 implement Generative AI integration strategies and roadmaps.
  • Communicate insights and collaborate multi-functionally, translating complex analytics into actionable recommendations for diverse collaborators.
  • Drive the technical vision and lead end-to-end execution of complex, multi-functional AI/ML projects.
  • Mentor and coach developing and senior team members, elevating the overall technical competence of the engineering team.
  • Embrace and champion AI-assisted software development such as Opencode, Copilot; while strictly managing and auditing AI agents to ensure production quality code that is reliable, secure and high quality.
Minimum Qualifications:
  • Master's or PhD degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning with 8+ years (or PhD with 5+ years) experience building end-to-end ML systems on cloud platforms, automating model training, testing, and deployment.
  • Strong experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) 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.
  • Proven track record of technical leadership, including leading ML project delivery and mentoring engineering teams.
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.
  • Advanced experience using and managing GenAI coding assistants, with a strong ability to peer-review and rigorously test AI-generated code logic.
  • Hands-on experience building Generative AI solutions and intelligent agents (ADK, LangChain/LangGraph, CrewAI, DsPy, Semantic Kernel).
  • 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) and MLOps/CE platforms (MLflow, Kubeflow, Vertex AI, SageMaker, TFX)
Job Profile(s):

Machine Learning Engineer 5

Relocation Level: TBD

Before Getting Started

Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:

  • Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
  • If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.
Benefits
  • 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.

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 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)

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