Top Senior Machine Learning Jobs in Boise, ID

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.

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.

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.

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.

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.

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.

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 development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

The Director of Product Management for ML Platform will own the product strategy and execution, mentor PMs, and collaborate with ML teams to enhance infrastructure and manage costs.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Lead planning, deployment, tuning, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Implement and troubleshoot AI-driven detection models, automation playbooks, API integrations, and threat-hunting for customers. Provide training, mentorship, and customer-facing collateral while optimizing detection efficacy and integrating Falcon into customers' security workflows.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead AML model development, optimization, validation, and governance for transaction and customer screening across banking, brokerage, and lending. Build ML/statistical models, maintain vendor solutions, ensure regulatory compliance, document methodologies, produce AML dashboards, and support audits, risk assessments, and stakeholder communications.

Lead Pluralsight's curriculum strategy to identify and shape future skills; translate market and technology trends into a curriculum roadmap; align with product, GTM, and content production; measure portfolio performance with data; lead and develop curriculum directors and managers; define scalable frameworks and represent the company externally.

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

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.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Apply data science, machine learning, statistics, and software engineering to develop ESDA analytics, predictive models, and tools that improve semiconductor yield, defect matching, and reliability. Collaborate with data engineers, product and failure-analysis teams to expand analytics platforms and accelerate manufacturing feedback for next-generation memory devices.

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.

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.

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.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.