Top Remote Machine Learning Jobs in San Diego, CA

Lead a data science team focused on customer service excellence, utilizing analytics and machine learning to drive optimization and improve user experiences at Coinbase. The role emphasizes partnership across departments to enhance metrics and frameworks.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

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

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.

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.

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

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

Lead the design strategy for Pluralsight's analytics experience, translating complex data into actionable insights while mentoring designers and fostering collaboration across teams.

Manage global technical support teams for MongoDB, focusing on customer satisfaction through technical issue resolution, performance enhancement, and team development.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The Engineering Manager will lead the Payments Risk engineering strategy, mentor the team, provide technical leadership, and collaborate across departments to ensure effective risk management solutions are developed for the organization.

The Senior Staff Software Engineer will design and implement risk platform architecture, mentor team members, and manage project priorities to mitigate financial threats and improve detection of user patterns.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

The role involves leading and scaling the Risk AI/ML team, managing multiple teams, and owning end-to-end ML systems to mitigate fraud and risk at Coinbase.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

As a Senior Staff Engineer at Coinbase, you will improve incentives infrastructure, drive growth, and solve complex technical problems in cryptocurrency applications.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.