Top Machine Learning Jobs in Boise, ID

Develops automation, data pipelines, databases, analytics, machine learning models, reporting tools, and web applications for package technology quality assurance. Analyzes manufacturing, product, and reliability data to support risk assessment and root-cause investigations. Collaborates with engineering teams, communicates findings, trains users, maintains software and reports, and shares analytics best practices across global teams.

Leads Micron’s Boise front-end semiconductor manufacturing operations, overseeing safety, quality, yield, throughput, cost, delivery, capacity, technology transitions, and workforce capability. Owns manufacturing strategy, fab performance, capacity expansions, compliance, digital transformation, and AI-enabled operational improvements. Partners with executive, technical, supply chain, facilities, finance, and HR stakeholders while building a high-performing leadership organization.

Supports high-volume semiconductor manufacturing equipment by monitoring performance, performing preventive maintenance, troubleshooting mechanical and electrical issues, assisting installations and engineering tests, and improving uptime. The role uses SPC, DOE, 8D problem solving, AI-enabled analytics, automation, and TPM practices to reduce defects and downtime. Responsibilities also include safety compliance, root cause investigations, corrective actions, procedure development, documentation, and collaboration with equipment owners, engineers, and technicians in a fabrication facility.

Supports the safe, reliable operation and continuous improvement of bulk and specialty gas systems used in semiconductor manufacturing. Analyzes performance data, troubleshoots equipment, leads root-cause investigations, applies AI and predictive analytics, develops dashboards and digital solutions, ensures safety and quality compliance, and supports upgrades, installations, commissioning, documentation, maintenance strategies, and cross-functional reliability projects.

Supports thin films semiconductor equipment engineering projects involving equipment and process data analysis, optimization, structured experiments, technical documentation, and cross-functional collaboration. The intern investigates equipment hardware, process interactions, and operating conditions while applying data analytics, artificial intelligence, and machine learning tools to improve engineering workflows and equipment performance.

Supports semiconductor manufacturing equipment by monitoring performance, performing preventative maintenance, troubleshooting mechanical and electronic systems, assisting installations, and improving uptime. The intern collaborates with engineering and technician teams, investigates root causes, applies SPC, DOE, and 8D methods, implements corrective actions, and maintains procedures and training documentation. The role is hands-on in a fabrication facility and emphasizes safety, equipment reliability, process control, and continuous improvement.

Supports semiconductor probe equipment installation, qualification, upgrades, troubleshooting, maintenance, and reliability improvement. Analyzes manufacturing and equipment data, develops scripts and automation solutions, and applies AI, machine learning, predictive maintenance, SPC, and DOE to improve equipment availability, quality, and factory efficiency. Collaborates with manufacturing, facilities, quality, process integration, suppliers, and other engineering teams while maintaining documentation and safety compliance.

Contribute to DRAM process integration R&D by defining design rules and specs, collaborating across device, materials, and process teams, documenting integration plans and risks, evaluating architectures and scaling approaches, and using AI/AI-assisted tools and statistical methods to support technology development.

Leads global semiconductor contamination control strategies across manufacturing sites. Develops monitoring and prevention programs for particles, airborne molecular contamination, metals, humidity, and temperature. Partners with engineering and manufacturing teams to resolve yield, reliability, and quality issues; standardizes metrics and procedures; supports wafer transfers, shipment processes, and capacity expansion. Manages cross-functional projects and applies AI, analytics, and automation to improve process monitoring and operational effectiveness.

Analyze semiconductor electrical, parametric, and fab data to identify yield-impacting design, process, test, and device issues. Develop yield-analysis tools and machine-learning models to predict end-of-line performance, detect failure mechanisms, and improve manufacturing processes. Collaborate with R&D and manufacturing teams, lead troubleshooting efforts, standardize analysis procedures, report experimental results, and support product transfers between R&D and manufacturing sites.

Intern supports photomask manufacturing by analyzing production data, investigating defects and process issues, applying SEM/EDX and SPC methods, developing automation and AI solutions, and recommending improvements to quality, cycle time, and engineering efficiency.

Leads Micron’s global DRAM packaging organization, defining long-term technology strategy and delivering advanced packaging solutions including HBM, 3D integration, heterogeneous integration, and chiplets. The role oversees cross-functional product development through high-volume manufacturing, drives technology investments, develops customer and supplier partnerships, and leads digital transformation using AI, analytics, automation, and engineering productivity initiatives. It also requires building high-performing global teams and influencing business and technology direction.

Manage a portfolio of advertisers on the Adflow commerce media platform, building relationships, monitoring budgets and campaign performance, presenting business reviews, coordinating onboarding, recommending optimization strategies, and identifying revenue-growth opportunities. The role serves as the primary client contact, collaborates with internal campaign, media operations, creative, and finance teams, and uses performance marketing expertise and analytics to drive advertiser success and long-term partnerships.

Manage a portfolio of advertisers on the Adflow commerce media platform. Responsibilities include client onboarding, campaign coordination, budget and revenue pacing, performance reporting, business reviews, strategic recommendations, optimization feedback, and identifying opportunities to grow advertising spend and channel distribution. The role serves as the primary client contact while collaborating with business development, campaign strategy, creative, media operations, and finance teams.

Drive enterprise AI transformation across the Marketing organization by managing the AI roadmap, governance council, intake processes, use-case prioritization, training, change management, responsible AI practices, and adoption KPIs. The role coordinates cross-functional stakeholders, translates technical capabilities into business plans, develops enablement resources, and reports progress and ROI to senior leadership. This is an execution and organizational adoption role rather than a technical AI development position.

Lead agile design and development projects for mobile apps and digital products. Coordinate product, design, engineering, marketing, leadership, and client stakeholders; manage project plans, scope, requirements, backlogs, acceptance criteria, deadlines, workflows, and deliverables. Support scoping and client relationship management while ensuring successful end-to-end software launches and alignment with business objectives.

Leads Utility’s AI practice by defining its roadmap, overseeing AI research and deployment, identifying client opportunities, mentoring AI teams, and establishing responsible AI practices. The role combines technical leadership, product strategy, client advisory, and operational execution across machine learning, generative AI, and intelligent automation initiatives.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Leads the AI Engineering team across applied AI features and foundational ML infrastructure. Responsibilities include managing Senior and Staff engineers, hiring and coaching, deploying LLM-powered capabilities, building MLOps and AI observability platforms, balancing product delivery with platform investment, and ensuring privacy, compliance, evaluation rigor, and clinical safety in production systems.

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

Set the technical vision for data science, lead complex statistical and machine learning model development from concept through production, and architect scalable modeling platforms and pipelines. Develop credit risk, pricing, and loss forecasting models; establish model governance standards; partner with senior leaders; mentor data scientists; and communicate technical strategy to executives. The role emphasizes production deployment, monitoring, cloud architecture, and high-impact decision-making across the business.

Performs electrical, physical, and statistical failure analysis for next-generation HBM products from development through production. Identifies defect mechanisms, analyzes component and system data, applies Python, statistical methods, JMP, and AI-enabled tools, and drives root-cause corrective actions. Collaborates with product, process, test, quality, and manufacturing engineering teams to resolve fabrication, assembly, and test issues, support product qualification, improve yield and reliability, and accelerate production ramp.

Supports semiconductor design rule development, documentation, validation, and optimization for advanced DRAM technologies. Develops scripts, automation solutions, methodologies, and workflows using EDA tools and AI-supported analytics. Performs design rule checking, physical verification, simulation, data analysis, and layout debugging while collaborating with design, CAD, process integration, verification, and product engineering teams.

Performs electrical, physical, and statistical failure analysis for new High Bandwidth Memory products. Analyzes characterization and manufacturing data to identify root causes of fabrication, assembly, and test failures. Collaborates with Product, Process, Quality, and Test Engineering teams to improve yield, reliability, and performance. Uses AI-enabled tools and statistical methods to analyze large datasets, identify trends, communicate corrective actions, and support product qualification and production ramp.

Leads roadmap governance, executive reporting, cross-functional coordination, risk management, dependency tracking, and performance measurement for Micron’s AI Security organization. The role partners with security teams including Security Operations, GRC, Third-Party Risk, Security Awareness, and Security Architecture to align initiatives with leadership priorities, improve operating rhythms, and drive execution across the enterprise.