Top Machine Learning Jobs in San Diego, CA

The Senior AI/ML Engineer will design, build, and deploy machine learning models and AI systems to improve clinical outcomes and health equity for low-income populations. This role involves working with a multidisciplinary team to solve key problems using AI/ML solutions, preprocessing data, testing models, and driving impactful decision-making in healthcare.

As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.

The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.

The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.

As a Data Scientist at Pinterest, you will utilize quantitative modeling and statistical methods to solve complex engineering challenges. Collaborating with cross-functional teams, you'll develop best practices for experimentation, build analysis pipelines, and provide crucial insights that influence product development.

As a Research Engineer at Snorkel, you will innovate and implement cutting-edge research into user experiences and establish state-of-the-art approaches for data-centric model iteration and analysis. You will prototype workflows, validate your work with design partners, and contribute to novel research alongside other scientists in the field.

The ML Engineer for Computer Vision will work with advanced techniques in artificial intelligence and computer vision to develop algorithms that enhance Entefy’s products. Responsibilities include using machine learning tools and computer vision techniques for image processing and analysis on various confidential projects.

The Senior AI/ML Engineer will design and implement machine learning algorithms, maintain ML system pipelines, and integrate AI components into various applications. Collaborating with cross-functional teams, the engineer will also manage version control, implement CI/CD pipelines, and design RESTful APIs, all while working in fast-paced, regulated environments.

The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.

As a ML Solutions Engineer, you will act as a trusted advisor to customers, engaging them with product education and managing escalations while influencing product roadmaps. Your role involves gathering goals and KPIs with pre-sales engineering, demonstrating AI product value, and developing relationships with technical stakeholders.

As a Junior AI/ML Sales Executive, you will hunt for new clients, create revenue streams with solutions and customer success teams, and collaborate to build proof of concepts and use cases. Your responsibilities include driving the sales process, negotiating deals, and presenting product value propositions.

As an AI/ML Sales Executive, you will be responsible for acquiring new enterprise clients, expanding accounts, managing significant deals, and generating organic revenue streams. You will collaborate with internal teams to build proof of concepts and leverage your expertise in consultative sales to close high-value contracts.

As a Technical Program Manager at Coinbase, you will lead machine learning focused programs, ensuring strategic alignment and roadmap delivery. You'll work with cross-functional teams, manage documentation and communication, monitor program status, and address issues proactively. Additionally, you will need to communicate effectively with both technical and non-technical stakeholders.

This role involves leading the development of AI/ML technologies and platforms, designing architecture, implementing infrastructure, collaborating with various teams, managing project roadmaps, and driving the technical vision and strategy of AI/ML within the organization. Additionally, it encompasses mentoring engineering teams and ensuring continuous improvement in quality, security, and performance metrics.

phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.

As a Senior Manager in AI/ML Engineering, you will lead teams of machine learning engineers and data scientists to deliver scalable AI and machine learning solutions. You will advocate for engineering best practices, coach engineers, and drive innovative solutions to enhance Nike's supply chain with advanced analytics.

The ML Engineer - Inference at Symbl.ai will develop and optimize deep learning models for real-time communication applications, focusing on the Nebula language model. Responsibilities include designing algorithms, integrating models into production, optimizing for various environments, and evaluating model performance, all while collaborating with cross-functional teams.