Top Machine Learning Jobs in Boise, ID

This role involves designing reliability tests for DRAM products, analyzing data, developing predictive models, and collaborating with teams to enhance product reliability.

Maintain and improve autonomous hardware for manufacturing, supporting installation, commissioning, qualification, and lifecycle management of OHTs, AMRs, robotic platforms (including robotic dogs and humanoids). Diagnose mechanical, electrical, controls, and software integration issues, lead root-cause investigations and corrective actions, and evaluate emerging autonomous technologies to boost performance and reliability.

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

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 product ownership for core investment data processing and reconciliation products: define roadmap, manage backlog, write requirements, collaborate with engineering, engage clients, measure feature success, and drive go-to-market adoption to meet bookings, NPS, and margin goals.

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.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

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.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

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 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.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

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.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

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

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

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.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

The Staff Product Manager, Conversion ML will shape product strategy for Liftoff's machine learning system, Cortex, develop new ideas, conduct experiments, and adapt roadmap based on data.