Top Remote Machine Learning Jobs in Sacramento, CA

The Head of Solution Consulting will lead a team in the Financial Services vertical, focusing on technical support during the sales cycle and product implementation while collaborating with other departments to drive growth and innovation.

The role focuses on optimizing customer operations by implementing solutions, managing relationships, and ensuring product effectiveness, requiring analytics and project management skills with up to 20% travel.

The VP of FP&A will lead Pacvue's FP&A function, partner with CFO, build a high-performing team, and support strategic growth initiatives.

The GTM role focuses on increasing revenue through new sales and partnerships, understanding client needs, and communicating product value.

The Partner Development Manager leads partner strategy, driving revenue growth through relationship management and leveraging partnerships for business outcomes across various sectors.

The AI Solution Engineer will architect and deliver AI solutions, lead technical discussions, and develop proof-of-concepts for customers, focusing on pre-sales engagements to demonstrate AI capabilities.

The Senior Specialist, IT Operations ensures the efficiency and scalability of technology infrastructure, providing technical support, troubleshooting, and process improvements, while mentoring team members and enhancing IT workflows using automation and AI.

The Engagement Principal is responsible for the deployment of Aera solutions, managing client relationships, project delivery, and contributing to sales cycles, ensuring successful implementation and value delivery.

The Automation Developer builds automation solutions with UiPath, collaborating with teams to analyze processes, design workflows, integrate data, and optimize performance.

The Staff Machine Learning Engineer will architect generative product workflows, fine-tune AI models, and collaborate with teams to enhance ad creative effectiveness.

The intern will conduct research on generative AI and LLMs to assist in drug discovery, collaborating with cross-functional teams, and contribute to publications.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

As a Software Engineer at Speechify, you'll enhance AI Voice products, optimize ML pipelines, and improve deployment tools in a fast-paced environment.