Top Remote Machine Learning Jobs in Sacramento, CA

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

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.

Lead the BNPL product strategy and growth by driving cross-functional alignment, partnering with ML and design teams, and ensuring compliance with regulations.

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.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

As an Associate Product Counsel at Dropbox, you will advise on user privacy, data protection, and oversee incident response while collaborating with product and security teams.

The Head of Analytics Engineering will lead the Analytics Engineering team, develop data platforms, and promote data literacy within Block's Risk organization, partnering with various stakeholders to enhance risk management capabilities.

Lead the design vision for Square's Financial Suite, managing design teams, driving design quality, and enhancing user experience through innovative financial tools.

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

As a Machine Learning Security Researcher, you will conduct research on security for machine learning systems, develop security frameworks, and engage with AI organizations to assess and improve their security posture.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

Lead the Behavioral Insights Team to investigate and analyze fraudulent activities, mentor team members, collaborate with cross-functional partners, and drive integration with machine learning for risk management.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.