Top Senior Machine Learning Jobs in Boise, ID

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

Lead the analytics strategy for Yahoo Mail, overseeing product engagement and retention. Manage a data science team, design experiments, and provide insights to inform product development.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Develop electrical system ontology for data centers, deploy advanced anomaly detection using machine learning, monitor telemetry, and collaborate with teams to enhance reliability.

The Client Partner will manage relationships with key customers, drive revenue growth, and uncover new business opportunities while ensuring effective delivery of services.

Manage client relationships and energy market participation, ensuring program delivery, stakeholder engagement, and compliance with funding requirements. Foster client success through communication and expertise in energy solutions.

The Engineering Program Manager will oversee project timelines, manage dependencies, ensure on-time delivery, and communicate effectively across teams to support enterprise-grade software and AI solutions.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

Lead a team of Data Scientists and Analytics Engineers at Netflix to enhance game development through data science and machine learning.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

Lead the design and development of ML models for autonomous agricultural robots, overseeing the full ML lifecycle and collaborating with cross-functional teams.

The Director of Strategy & Innovation at Viz.ai will drive new opportunities in healthcare by leading strategic projects, developing product concepts, and collaborating with cross-functional teams. Ideal candidates should have an MD, MBA, strong analytical and communication skills, and healthcare strategy experience.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

The Data Science Manager will lead a multidisciplinary team in delivering data science solutions, ensuring alignment with strategic goals and managing project delivery processes.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

The Director of Product Management for the Data Platform will drive the adoption and operational effectiveness of AlixPartners' data initiatives, ensuring stakeholder engagement and compliance.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

Own end-to-end go-to-market strategies for FiftyOne Enterprise, bridging technical ML engineering with commercial goals through strategic messaging, GTM execution, and market intelligence.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Lead data science initiatives, build and improve machine learning models, communicate insights to influence decisions, and foster analytical rigor in a collaborative environment.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.