Top Machine Learning Jobs in San Diego, CA

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

Research decentralized learning, design incentive mechanisms for community-driven AI, and prototype systems to enhance AI infrastructure.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

As a Senior Solutions Consultant, you will support sales by understanding client needs, providing product demonstrations, and managing proposals while fostering collaboration between teams.

The Research Scientist will develop innovative neural architectures, work with engineers on product alignment, and stay updated on academic research.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

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 Display Media Account Manager develops and executes digital media strategies, focusing primarily on Amazon DSP, while fostering client relationships, providing analytics, and driving business growth for clients.

The Senior Backend Engineer will develop and maintain backend systems, collaborate on data-driven solutions, and enhance products using machine learning.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

As an AI Engineer, you'll develop features, curate data, train models, evaluate performance, and lead technical initiatives in AI.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

The Staff Product Manager for AI/ML at Twilio will define the product roadmap, lead AI development, collaborate with teams, and deliver improvements in AI capabilities.

The Senior Machine Learning Engineer will lead AI initiatives, develop ML infrastructure, establish data engineering best practices, and collaborate across teams to enhance healthcare technology services.

As a Recruiter at Voleon, you will manage full-cycle recruitment processes, engage with hiring managers, develop candidate pipelines, and ensure an exceptional candidate experience to support business growth.

As Engineering Manager, lead the Data Science Team in delivering impactful solutions through data analysis and machine learning, fostering collaboration, and mentoring team members.

As a Data Science Intern, you will apply statistical and machine learning techniques to solve problems in the insurance industry, collaborate with experienced data scientists, and present your findings to stakeholders.

As a Machine Learning Engineer, you will fine-tune models, shape data pipelines, evaluate AI behavior, and collaborate on product features in a high-autonomy environment.