Top Machine Learning Jobs in San Diego, CA

As a Technical Recruiter, you will source and recruit top technical talent for AI/ML and Data Science roles while managing candidate experience and the hiring process.

Develop machine learning driven products and tools for Firefox, lead design and integration of AI models, and mentor junior engineers.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

The role involves developing ML models, leading research projects globally, and reviewing AI/ML literature to enhance techniques and methodologies.

Lead the product management team and major product lines, focusing on strategy, execution, and cross-functional collaboration to align company goals.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

Develop and enhance high-volume data pipelines with ML capabilities, while collaborating with engineering teams to integrate data science into products and applications.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.

Design and implement scalable machine learning pipelines, mentor junior team members, ensure deployment standards, build CI/CD pipelines, and establish best practices for ML systems.

Lead and develop a team in creating AI/ML solutions for transforming communications in real estate. Drive strategy and implementation of new Generative AI solutions.

As a Principal Product Manager, you will lead product strategy, oversee product roadmaps, collaborate with teams, and drive product implementation for Edmentum's Career Connected Learning product.

Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.

Design and deploy ML models to combat financial crimes, collaborate with teams, and enhance ML practices within the organization.

The role involves developing AI safety testing strategies, evaluating AI models, collaborating with teams, and ensuring compliance with industry standards.

The role involves designing, implementing, and optimizing machine learning models and pipelines, collaborating with data scientists, and ensuring compliance and scalability.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

The Solutions Engineer will lead technical sales processes, educate clients on AI capabilities, and ensure efficient customer engagements.

Collaborate with data scientists and engineers to maintain large-scale machine learning models in production, implementing best practices for deployment and monitoring.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Lead machine learning strategy for Pinterest's search, focusing on indexing, query understanding, personalization, and generative approaches while mentoring junior engineers.

The Technical Director will lead technical vision and strategy, influence client relationships, and ensure successful execution of Data & AI projects, while mentoring teams.

Lead the creation of innovative AI and agent-based products, collaborating with cross-functional teams and guiding the entire product lifecycle from concept to launch.

Lead and architect AI product development using LLMs, mentor engineers, and drive user-focused innovations and product strategies for Dia's AI capabilities.

The Lead Analyst of User Analytics & Insights will drive strategy through data, lead analytics projects, and communicate insights across teams to influence decisions.

The AI/ML Principal Engineer leads technical projects, supports product strategy, and manages complex engineering issues while mentoring staff and contributing to business strategies.