Top Machine Learning Jobs in San Diego, CA

The Vice President of Digital Transformation will oversee technology operations, manage the technology roadmap, and align technology efforts with organizational goals. Key responsibilities include budget management, vendor negotiations, ensuring systems security, coaching the technology team, and overseeing IT project management. This role requires a strong leadership presence and extensive experience in software development and enterprise solutions, especially within the healthcare industry.

The Software Product Manager will drive the strategy and development of custom software platforms for large molecule drug discovery. Responsibilities include product vision, roadmap execution, managing Agile product development, integrating AI capabilities, and collaborating with engineering, scientists, and stakeholders to enhance efficiency in drug discovery.

The Staff Software Engineer for Afterpay Media Network will collaborate with cross-functional teams to optimize data systems, deploy machine learning models for advertising solutions, and maintain user identifiers in Cloud environments. Responsibilities include designing scalable data warehouses, ensuring data quality, and integrating with advertising tools and partners' APIs.

The Software Engineer, Machine Learning role at Hop Labs involves building and improving machine learning systems, architecting solutions for scalability and security, and collaborating with a distributed team to deliver impactful projects. The candidate should have strong programming skills, especially in the ML stack, and demonstrate ownership, communication, and collaboration proficiency.

The Machine Learning Researcher will engage in research applying LLMs, conducting experiments, and developing solutions to complex problems. Responsibilities include staying updated on advancements, designing experiments, analyzing results, and iterating on model architectures and hyperparameters.

As a Staff Machine Learning Engineer at Workiva, you'll lead the architecture and delivery of machine learning solutions, focusing on innovative problem-solving and the integration of Generative AI. You'll develop tools and systems to ensure high availability and scalability, collaborate with product teams, mentor junior engineers, and ensure the reliability of machine learning infrastructure.

The Senior Machine Learning Engineer will design and deliver ML solutions at Workiva, develop systems and tools for ML management, and provide mentorship to junior team members. Responsibilities include developing APIs, maintaining ML infrastructure, troubleshooting production issues, and participating in code reviews.

The Senior Machine Learning Engineer at Workiva is responsible for delivering machine learning solutions, developing ML features, and managing infrastructure and automation for machine learning. This role involves mentoring team members, engaging in production support, and leading ML projects while ensuring high availability and observability of systems.

As a Senior Machine Learning Engineer, you will build the Cashbot, develop high-quality customer support experiences, and create modeling pipelines while collaborating with Product, Design, and Engineering teams. You will focus on improving chatbot functionality and mentoring other team members.

As a Senior Machine Learning Engineer at Cash App, you will design and implement ML pipelines to prevent inauthentic identities and enhance user access to financial services. You will collaborate with Data Scientists, Software Engineers, and contribute to the ML strategy across Cash App while mentoring teammates. Your role is vital in fortifying identity verification systems.

The Staff Machine Learning Engineer will build and integrate ML solutions to evaluate customer cash flow risks and optimize automated decisioning pipelines. The role requires collaboration across teams to improve financial services through AI/ML models based on transaction data.

The Senior Manager, Technical Program Management will lead the design and development of enterprise software for unmanned systems, overseeing project execution and managing a team of program managers. Responsibilities include planning, risk management, stakeholder communication, and driving continuous improvement in project processes.

The Senior Machine Learning Engineer will design and build large-scale ML systems for Dropbox’s AI search and organization features. Responsibilities include collaborating with teams to deploy models, contributing to technical strategies, and integrating advancements in AI into Dropbox products.

As a Machine Learning Software Engineer, you'll collaborate with a Data Science team to support R&D and machine learning projects, designing and optimizing software features. Engage with advanced technologies to create robust software solutions in a fast-paced environment.

As a Sr. Machine Learning Engineer at CrowdStrike, you'll innovate with machine learning technologies, build scalable ecosystems, create backend microservices, and maintain data pipelines while collaborating with various teams to implement effective cybersecurity solutions.

As a Machine Learning Engineer at Peloton, you will enhance content recommendations by optimizing ML pipelines, researching best practices in ML techniques, and collaborating with cross-functional teams to run experiments and analyze data, ultimately driving member engagement.

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.