Top Senior Machine Learning Jobs in San Diego, CA

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Senior Data Scientist will design, develop, and own machine learning systems for document verification focusing on computer vision and deep learning. Responsibilities include technical leadership, engaging with customers, and collaborating with engineering and product teams.

Lead the strategic direction of data science at Mission Lane, innovating machine learning applications and managing a high-performing team to enhance financial outcomes.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

The Technical Product Manager will define roadmaps for an AI Platform, manage ML systems, partner with engineers, and improve healthcare outcomes.

The Research & Development Clinical Pathologist will collaborate on innovative solutions in veterinary medicine, leveraging technology and clinical pathology expertise.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Senior Product Manager will lead the pricing and valuation engine, overseeing ML modeling, pricing systems, and improving valuation accuracy while managing cross-functional roadmaps and execution.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Lead Yahoo's Data Activation product area: define vision and strategy, partner with Data Science and Engineering, drive cross-vertical data activation initiatives, deliver measurable business impact, and mentor/manage product teams to execute on audience, personalization, and targeting use cases.

The Director of Product will lead the Insurance Vertical, developing AI-driven data products for insurers, focusing on risk intelligence and fraud detection.

The role focuses on leading editorial efforts to define industry narratives around energy infrastructure, translating regulatory changes into strategic content for executives, and influencing sales and positioning through high-impact communications.

The Head of GTM Narrative will lead strategic storytelling about risk and resilience in energy infrastructure, creating high-impact content and engaging senior executives to drive Neara's authority in the market.

Manage the day-to-day operations of Cority's AI platform, driving delivery, prioritizing the roadmap, and coordinating with stakeholders to ensure alignment and quality in an agile environment.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Principal Architect will lead AI/ML solutions, mentor teams, and collaborate with clients to design and deliver scalable systems using Google Cloud technologies, ensuring compliance with ethical standards.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

The Strategic Account Executive will manage sales strategies, build customer relationships, lead account planning, and drive business outcomes in enterprise software sales, specifically targeting Fortune 500 accounts.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.