Top Remote Machine Learning Jobs in Boise, ID

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.

The VP of Communications will develop and execute Moloco's global communications strategy, engaging with stakeholders and managing both internal and external messaging.

Analyze complex datasets, build machine learning models, and collaborate with teams to deliver data-driven insights in a remote-first culture.

Lead and optimize revenue management, distribution marketing, and sales for Kasa, developing AI-driven strategies to maximize profitability and improve guest experiences.

The Visiting Researcher will assist in developing ML models for healthcare applications, including NLP and predictive modeling, under mentorship in a focused research project.

Lead the architecture and development of machine learning chiplet SoCs for robotics, ensuring performance and reliability while meeting safety standards.

Lead product marketing strategies for AI solutions in consumer goods, defining messaging and go-to-market plans while collaborating with cross-functional teams.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

The Senior Product Manager will lead product development for AI and fashion design tools, collaborating with engineers and designers to enhance user experience and drive product strategy.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

The Sales Engineer will drive revenue by crafting cloud data security solutions, managing demos, and consulting with stakeholders while utilizing Cyera's technology.

Seeking a Senior Data Scientist to enhance modeling capabilities and deliver insights in decentralized finance through collaboration and innovative research in the crypto space.

The Partner Sales role involves managing partnerships to drive revenue, developing strategic partner plans, and collaborating across teams to achieve sales targets.

Lead the design and implementation of deep learning models for biological data, focusing on model architecture, project leadership, and innovation in machine learning applications in biology.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.

Develop and implement large-scale machine learning models to enhance user ad predictions and better understand user interests through data mining and collaboration with product teams.

Lead the Embeddings Platform Team, architecting and maintaining foundational ML embeddings, driving projects, and building a high-performing team to support machine learning initiatives across Reddit.

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

Lead and design Azure Infrastructure projects, ensuring security and best practices are followed. Mentor teams and communicate effectively with clients.

As a Senior AI Platform Engineer at Vanta, you will design, build, and improve AI infrastructure and tooling, collaborating with product and AI engineering teams to enhance AI capabilities.

The Sales Director will drive revenue by selling programmatic media solutions, cultivate client relationships, and collaborate with sales and marketing teams to enhance service.

Lead the development of AI systems for vulnerability detection and penetration testing with expertise in AI/ML technologies and cybersecurity principles.

The role involves developing advanced machine learning solutions, collaborating with experts, and managing ML model architecture and deployment.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.