Top Machine Learning Jobs in Boise, ID

Lead development of Circle's financial risk analytics, AI/ML-powered tools, and model risk program. Oversee risk appetite, controls, stress testing, and governance while managing teams and coordinating cross-functional and regulatory activities.

Drive execution of the High Bandwidth Memory (HBM) portfolio, managing product development and strategy, collaborating with cross-functional teams.

The Computer Engineer Intern develops and debugs CAD software and EDA tools, enhancing automation with AI/ML for CMOS circuit design.

The AI Solution Intake & Feasibility Analyst facilitates AI project requests, evaluates feasibility, collaborates for compliance, and communicates outcomes.

As a Staff Metrology Engineer, you will enhance semiconductor packaging through defect detection, metrology methods, and team collaboration, driving product quality and yield improvements.

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.

As a Senior Data Scientist, you'll develop AI/ML solutions, collaborate with experts, and stay current on data science advancements. Required qualifications include extensive experience in data science and programming proficiency.

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

The Data Science Manager leads smart manufacturing applications, develops data science strategies, provides technical consulting, and stays current with industry trends, enhancing Micron's processes.

Lead the transformation of enterprise security through AI, redesigning operations for efficiency, implementing analytics for risk identification, and unifying security systems into an AI-enabled architecture.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

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 Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

Own and scale Coinbase's notification platform and experience to grow MAU, drive engagement, and maximize LTV using ML-driven personalization, analytics, and cross-functional execution.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

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.

As Principal Product Manager for the Agentic Platform, you will set the vision and strategy for AI infrastructure, drive product development, and facilitate adoption across teams.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Senior Engineering Manager will lead multiple growth engineering teams to build products, improve engineering quality, and drive significant business impact, focusing on user growth through innovative strategies while ensuring high-quality execution under deadlines.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.