Top Machine Learning Jobs in Boise, ID

Perform FIB lamella preparation and TEM analysis (microstructure and chemical) using electron diffraction, EDS, EELS, and advanced STEM techniques. Optimize lab procedures, support process development and product transfers, and develop AI/automation and data-processing workflows for TEM data acquisition and analysis.

Develop and optimize wet cleaning and resist strip processes for EUV and DUV photomasks. Design experiments, analyze defect, contamination, yield, and equipment data, characterize process equipment, evaluate tool matching, and support qualification and corrective actions. Apply statistical analysis, data science, and machine learning to identify process trends and improve yield. Lead an independent project and present technical recommendations to engineering teams and leadership.

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.

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.

Leads a team of semiconductor equipment engineers responsible for improving manufacturing capability, equipment performance, yield, throughput, quality, and cost. Sets team strategy, develops talent, allocates resources, and collaborates with manufacturing, facilities, technology development, suppliers, and global engineering partners. Drives equipment optimization, installation, modification, and relocation initiatives while communicating technical and business updates to leadership and cross-functional audiences.

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.

As a Sr. Engineer in photolithography process development, you will innovate manufacturing-friendly processes for memory devices, engage with vendors, analyze data, and document project results.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

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

Lead AI strategy and emerging systems within Micron by evaluating innovative AI capabilities, architecting solutions, prototyping systems, and overseeing AI governance and value assessments.

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.

Supports commercial enterprise sales by discovering customer requirements, aligning SailPoint solutions, delivering demonstrations, responding to RFPs, and leading Proof of Value evaluations. The role partners with sales, product, customer success, professional services, and channel teams while communicating technical and business value to IT and business stakeholders. It requires substantial pre-sales experience, enterprise software knowledge, SaaS architecture familiarity, and expertise in identity governance and access management.

Lead Runpod’s Americas sales organization and revenue number across new business, expansion, and renewals. Manage and coach Account Executives and Account Managers, oversee forecasting and pipeline, lead complex enterprise deals and contract negotiations, build regional go-to-market strategy and sales playbooks, and convert product-led demand into revenue. Partner with Marketing, Product, Legal, and Finance while improving sales efficiency through AI and developing a remote-first team.

Own the end-to-end architecture, development, deployment, evaluation, and operations of AI and machine learning systems. Build predictive ordering models, agentic workflow copilots, retrieval and evaluation infrastructure, safety guardrails, and responsible AI practices. Prioritize AI initiatives based on business outcomes, establish model governance and production standards, advise product and engineering leadership, and mentor experienced contributors.

Own the strategy, roadmap, packaging, and go-to-market evolution of Pluralsight’s AI, Cloud, and Security learning solutions. Design blended learning programs, define expert perspectives, identify content and lab components, monitor market needs, and use customer and learner data to improve outcomes. Partner with Product, Sales, Marketing, Curriculum, Engineering, and Services teams, support strategic enterprise deals, manage solution benchmarks, and drive adoption, renewals, and revenue growth.

Develops and validates machine learning and statistical models for anti-money laundering, transaction monitoring, customer screening, and risk rating. The role evaluates AML data quality, integrates vendor solutions, maintains governance and regulatory documentation, leads model lifecycle quality control, and reports performance through management dashboards. It also supports AML risk assessments, audits, regulatory examinations, and cross-functional stakeholder coordination.

Lead and scale a global team of Principal Agentic Technologists supporting strategic enterprise sales. Define technical sales methodologies, demonstrations, and proof-of-value frameworks for AI agent and non-human identity security products. Partner with sales, product, marketing, and engineering leaders to support major deals, influence product roadmaps, develop enablement programs, and communicate technical value to executives and architects.

Leads client-facing data science and analytics initiatives, translating complex marketing and media data into actionable business narratives. Develops measurement strategies, including test/holdout incrementality, informs acquisition and retention decisions, scales analytics best practices, and manages analyst teams. Partners with Sales, Client Services, Operations, and other stakeholders while supporting predictive and adaptive AI/ML solutions. The role requires strong client communication, strategic leadership, analytics expertise, and proficiency with Python, SQL, Tableau, and related tools.

Lead enterprise data loss prevention and information protection programs: design and tune DLP policies, develop advanced IP detection (regex, fingerprints, ML), implement classification/labeling and rights management, automate remediation and workflows, monitor exfiltration/anomalous access, author standards and runbooks, and drive large-scale security initiatives across endpoints, cloud, email, SaaS, and storage.

Build and maintain mission-critical ad-serving infrastructure operating at massive scale. Responsibilities include shipping production code frequently, improving engineering quality through testing and code review, developing expertise in Go and open-source technologies, and designing large-scale data stores, distributed systems, and backend architectures. The role offers measurable impact on millions of users and company revenue while working remotely with quarterly in-person gatherings.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Support R&D of manufacturable wafer bonding technologies: plan and run experiments, analyze data, evaluate equipment and materials, propose process improvements, and use AI and advanced analytics to accelerate process development and improve yield and manufacturability.

Lead Amazon performance marketing strategy and execution, manage Sponsored Ads and DSP, collaborate with agencies and cross-functional teams, optimize campaigns and budgets, analyze performance with AMC/analytics, and measure commercial impact to drive ROAS and customer acquisition.