Top Machine Learning Jobs in Boise, ID

Lead silicon photonics and heterogeneous integration development from concept through manufacturing readiness. Responsibilities include process-flow integration, photonic device and advanced packaging development, DOE execution, process characterization, yield improvement, defect reduction, root-cause analysis, design-rule development, tapeouts, technology transfers, technical roadmaps, and AI-enabled engineering initiatives. The role collaborates with design, device, packaging, manufacturing, and supplier teams to deliver optical connectivity technologies for high-performance computing and AI infrastructure.

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.

Develop software tools, automation, dashboards, and analytics workflows for SSD architecture modeling, simulation analysis, and performance characterization. Process and visualize engineering datasets, identify bottlenecks and trends, apply AI-assisted development techniques, and collaborate with architecture, firmware, and systems engineering teams to improve modeling methodologies and engineering productivity.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.

Lead product strategy, roadmap, and delivery for Falcon Complete’s internal MDR tooling, including AI-powered investigation and triage, ticketing, case management, and analyst workbench systems. Partner with security operations, analysts, engineering, and data science teams to translate workflows into product requirements, prioritize automation, improve analyst productivity and response times, define success metrics, and enhance customer outcomes.

Owns product strategy, roadmaps, prioritization, discovery, and delivery for software, data, and AI products supporting behavioral healthcare. Partners with engineering, clinical, community, operations, and executive teams to translate care models into workflows and product features. Leads user research, experimentation, analytics, and field pilots to improve care delivery and outcomes.

Develop and implement data science strategies for machine learning applications including lead scoring, churn modeling, pricing, personalization, and fraud detection. Own end-to-end initiatives spanning data analysis, feature engineering, model training, inference, and monitoring. Collaborate with engineering, infrastructure, analytics, and business teams to deliver measurable impact, improve data capabilities, and communicate findings to technical and non-technical stakeholders.

Analyze semiconductor inspection data, process flows, and manufacturing metrics to identify defects, excursions, and yield-impacting issues. Support root cause analysis, experimentation, process control, defect reduction, and process optimization in high-volume manufacturing. Use statistical analysis, automation, AI-enabled tools, and data visualization to improve process visibility and manufacturing efficiency. Collaborate with cross-functional and global engineering teams to transfer best practices and maintain process stability.

Improve semiconductor manufacturing process quality, yield, equipment performance, and efficiency. Monitor process and equipment issues, analyze manufacturing data, apply SPC, FDC, DOE, and structured problem-solving methods, and partner with operations and engineering teams. Lead process optimization, productivity, cost reduction, documentation, training, and corrective-action initiatives supporting high-volume memory production.

Performs electrical and semiconductor failure analysis to identify yield detractors, determine root causes, and recommend corrective actions. Develops yield monitoring methods, automated analytics, dashboards, anomaly detection models, and AI-enabled workflows. Partners with cross-functional engineering and manufacturing teams on yield improvement, product qualification, technology transfers, and technical reviews. Operates laboratory equipment, documents findings, supports process improvements, and trains engineers and technicians.

Leads People Analytics enablement and BI strategy, overseeing semantic models, certified data products, metric governance, data foundations, advanced analytics enablement, demand prioritization, and adoption. Partners with People Analytics, IT, and HR Strategy teams to create trusted workforce data, reusable semantic assets, and decision-ready insights. Manages teams and operating models while driving data quality, governance, certification, self-service analytics, AI access, and scalable insight delivery across the enterprise.

Build scalable systems and machine learning models that transform satellite imagery into labeled geospatial data and production computer vision products. Responsibilities include developing data and annotation pipelines, tracking lineage and versioning, deploying inference services, evaluating models, supporting cloud infrastructure, and improving labeling workflows. The role requires strong Python, cloud, containerization, CI/CD, infrastructure-as-code, production support, and deep learning expertise, with preferred experience in GCP, Vertex AI, spatial databases, and satellite imagery.

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.

Develops and integrates semiconductor process flows for advanced memory and packaging technologies, especially wafer-level and reconstructed substrate processing. Leads technical projects, designs experiments, analyzes process and reliability data, resolves integration issues, and collaborates across engineering and manufacturing teams to qualify scalable technologies. Applies data-driven methods and AI tools to improve workflow efficiency, yield, reliability, and technical decision-making.

Start up, develop, optimize, and troubleshoot semiconductor manufacturing equipment, including pumps, abatement systems, and chillers. Drive yield, quality, productivity, cost, and risk improvements through failure analysis, SPC/FDC, FMEA, and 8D methodologies. Coordinate equipment evaluations, qualifications, supplier audits, and process changes while monitoring equipment health, resolving manufacturing issues, and developing redundancy plans. Analyze performance data and apply automation, coding, machine learning, and JMP scripting to improve semiconductor production.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Own the strategy, roadmap, requirements, launch, adoption, and success metrics for a technical platform. Partner with engineering, data, product, and business teams; evaluate architecture, APIs, and system tradeoffs; prioritize foundational investments against customer and revenue outcomes; and apply AI to improve platform capabilities. The role requires strong product management experience, technical depth, analytical skills, and production experience with LLM-based or ML-adjacent products.

Lead the In-Vehicle Experience team at Samsara, focusing on transforming in-cab cameras into intelligent companions. Collaborate with engineering, prioritize features, and ensure client interactions highlight trust and connection. Conduct customer research and integrate AI and ML into product features.

Develop wafer, die, and package-level models across semiconductor technology nodes. Collaborate globally to deploy computational, generative AI, agentic AI, multiphysics, and multiscale modeling solutions using sparse and high-dimensional datasets. Interpret predictive modeling insights, identify engineering findings, and communicate results to technical teams and senior leaders.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

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.

Build, operate, and maintain scalable platforms supporting analytics and AI workloads. Responsibilities include cloud architecture across IaaS, PaaS, and SaaS; Terraform automation; Kafka and Kubernetes administration; platform monitoring, observability, cost optimization, reliability, and security controls. The role also provides platform support, documents operational practices, evaluates emerging technologies, and collaborates with architects, vendors, customers, and cross-functional 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.

Develop and optimize full-funnel, multi-channel demand generation campaigns that generate pipeline, accelerate deals, and support cross-sell and upsell opportunities. Partner with product marketing, sales development, content, product, field, partner marketing, and analytics teams. Build lead-nurturing programs, align assets to buyer stages, monitor conversion and ROI metrics, and create dashboards to optimize campaign performance.