Staff Machine Learning Engineer

Micron Technology
Boise
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["High velocity","Problem-solving","Communication","Collaboration","Analytical thinking"]

Build and deploy end-to-end machine learning solutions for Smart Manufacturing and AI, analyzing large manufacturing datasets to uncover patterns and improve model performance. Design and refine ML models, integrate emerging techniques into the MLOps lifecycle, and create scalable data pipelines and architectures across Snowflake, GCP, and Azure. Partner with Product and Engineering to drive Generative AI integration strategies, deploying and monitoring models in production while translating insights into actionable recommendations.

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FursaFursa
Micron Technology
Micron Technology
2 months ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live
Reposted: first listed 16 hours ago

Job Summary

Build and deploy end-to-end machine learning solutions for Smart Manufacturing and AI, analyzing large manufacturing datasets to uncover patterns and improve model performance. Design and refine ML models, integrate emerging techniques into the MLOps lifecycle, and create scalable data pipelines and architectures across Snowflake, GCP, and Azure. Partner with Product and Engineering to drive Generative AI integration strategies, deploying and monitoring models in production while translating insights into actionable recommendations.
Location: Boise
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze large datasets to identify patterns, trends, and insights that improve ML models.
  • •Design, build, and continuously refine ML models to address business challenges and enhance product capabilities.
  • •Build and maintain robust, scalable data pipelines and infrastructure for model training and deployment.
  • •Integrate AI/ML advancements into the MLOps lifecycle, including deploying, evaluating, and monitoring models in production.
  • •Partner with Product and Engineering teams to define and execute Generative AI integration strategies and roadmaps, communicating insights to stakeholders.

Pay and Benefits

Perks:Health InsuranceDentalVisionTime OffPaid HolidaysPaid Leave

Key Requirements

  • •Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or related field with 3+ years building end-to-end ML systems on cloud platforms.
  • •Strong experience with ML frameworks including TensorFlow, PyTorch, and scikit-learn, plus core techniques (regression, classification, deep learning, reinforcement learning) and generative AI.
  • •Proficient in Python or Java, with experience building APIs and event-driven pipelines using Kafka, Pub/Sub, or similar messaging systems.
  • •Skilled in scalable data engineering (ETL/ELT pipelines such as Kubeflow, Airflow, Dataflow) and SQL/data architecture design.
  • •Hands-on with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes) and strong analytical, communication, and collaboration skills.
Experience:3+ years
Education:Master's
Skills:High velocityProblem-solvingCommunicationCollaborationAnalytical thinking
Tech Stack:TensorFlowPyTorchScikit-learnPythonJavaKafkaPub/SubSnowflakeGCPAzureKubeflowAirflowDataflowSQLDockerKubernetesBigQueryMSSQLPostgreSQLGit

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
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Glassdoor: 3.7
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