Top Machine Learning Jobs in Boise, ID

As a Senior Applied AI Engineer, you will develop and deploy AI/ML solutions for semiconductor processes, design software for large datasets, and drive innovative research to improve manufacturing efficiency.

Lead a portfolio of AI initiatives for construction from concept to adoption. Partner with construction, engineering, operations, and tech teams to define use cases, manage roadmaps, budgets, governance, risk, and success metrics, and drive pilots, training, and responsible AI practices to improve safety, quality, cost, and schedule.

The Product Manager will drive strategy for High Performance Memory products, managing customer engagement and product development in AI and HPC sectors.

Support FE-SMAI Quality initiatives by identifying and prototyping Industry 4.0 solutions, deploying smart-manufacturing tools at FE sites, leading cross-functional projects, capturing requirements, running UAT, and using performance data to drive quality and process improvements.

Lead development and optimization of manufacturing-ready photolithography processes (365/248/193nm immersion), collaborate with suppliers, create design/layout methodologies, apply data analytics and machine learning for root-cause analysis and yield improvement, and document results including IP disclosures.

Support high-volume manufacturing by using defect detection equipment and data analysis to identify, quarantine, and reduce inline defects. Drive continuous improvement, develop inspection strategies, collaborate with global HVM teams, support experiments, perform root-cause analysis, and transfer technologies to production.

Responsible for yield analysis through electrical data characterization, employing machine learning to enhance device performance, and collaborating with R&D for process improvements.

Lead corporate communications strategy and execution: own product and model launches, media and executive communications, narratives, social presence, and major company moments. Translate technical research and product advances into compelling stories for developers, enterprise buyers, partners, and analysts. Partner cross-functionally with CEO, CMO, product, brand, and demand gen to build credibility and influence in the voice AI ecosystem.

Lead CrowdStrike Finance & Accounting AI transformation: define operating model and governance, prioritize AI use cases, oversee POC-to-production delivery, drive enablement and change management, measure benefits realization, and report outcomes to executives.

Support risk and analytics efforts by performing SQL/Python-based analysis, monitoring portfolio health, building scalable reports, collaborating cross-functionally, and integrating AI tools to surface insights that inform product, risk, and growth decisions.

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Advise clients on Oracle Financials and Hyperion, design budgeting/forecasting solutions, integrate RPA/ML/analytics, ensure compliance, build stakeholder relationships, and coach teams to deliver strategic finance outcomes.

Lead deployment, configuration, optimization, and operational support of CrowdStrike Falcon AI/ML detection and response capabilities. Tune ML models, build automation playbooks, develop scripts using Falcon APIs, integrate AI features with customer toolchains, support incident response and threat hunting, deliver customer workshops, and mentor team members. Travel up to 25%.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

Lead and scale a cross-functional AI and engineering organization that builds production-grade AI models, automated data pipelines, and LLM-driven workflows to power Samsara's GTM operations. Define a multi-year AI roadmap, set quality and review standards for model outputs, collaborate with execs across Engineering, Product, and RevOps, and hire and mentor managers and individual contributors to drive adoption and reliable automation across CRM, telemetry, and enterprise data systems.

Identify, diagnose and resolve assembly process issues; coordinate process/equipment/material evaluations and implement optimizations; lead yield improvement and cost reduction; validate new process baselines and support new product introduction; support SPC/FDC/RMS/APC and site-to-site portability; manage and audit material suppliers; support internal and external audits.

Lead applied AI/ML initiatives, design and deliver production-grade software, develop secure high-quality code, troubleshoot, automate remediation, evaluate vendor architectures, champion best practices across engineering, and drive adoption of AI/ML, NLP, LLMs and streaming technologies.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Develop and deploy thermal and computer vision models for semiconductor products. Collaborate with modeling engineers and AI experts to apply ML/DL, FEA, Silvaco and Python scripting, and laser-based processing knowledge to solve process and product challenges and communicate results to stakeholders.

Own end-to-end analytical lifecycle to develop and optimize business, risk, and growth strategies. Monitor portfolio and macro trends, build and interpret ML-driven models, lead cross-functional launches, mentor junior analysts, and build AI-assisted workflows to improve decisioning and measurement across products and geographies.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead planning, deployment, tuning, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Implement and optimize ML models, develop automation playbooks and Falcon API integrations, troubleshoot AI-related issues, support incident response and threat hunting, and deliver customer workshops and collateral. Up to 25% travel.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Lead and architect high-value healthcare analytics engagements, build reusable analytic frameworks (DBT), partner with product and engineering, mentor analysts, ensure analytic quality, and represent Arcadia externally to drive population health and value-based care outcomes.

Lead the end-to-end demand-to-value pipeline for enterprise AI: identify high-impact use cases, make buy/build decisions, drive adoption, establish baselines and ROI, and build a team to scale business-facing AI delivery while providing credible technical evaluation of ML and generative AI.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.