Top Machine Learning Jobs in San Diego, CA

In this role, you will refine and optimize machine learning systems, focusing on model training, pipeline development, and fine-tuning large language models. You will collaborate with product and business teams, implement feedback systems, and mentor junior members, ensuring your ML solutions drive innovation and results.

The Technical Writer will create and maintain technical documentation for hardware design, ensuring clarity for both technical and non-technical audiences. Responsibilities include collaborating with various teams to produce user guides, developer documentation, and training materials, while keeping abreast of AI and ML trends to enhance relevance and accuracy. The role necessitates attention to detail and the ability to translate complex concepts into accessible content.

The Principal Autonomy Integration Engineer will define the vision and strategy for autonomous system development, collaborating with various teams, securing support for roadmaps, and leading improvements in innovation. This role requires expertise in robotics and machine learning, along with strong communication skills to navigate complex decision-making and ensure execution across engineering teams.

The Customer Success Manager will nurture and grow relationships with Arize customers, drive adoption of AI solutions, manage renewals and upsells, and identify growth opportunities. This role requires collaboration with the Customer Success Engineering team and effective communication to ensure customer satisfaction and healthy account management.

As a Senior/Staff Data Engineer, you will design and implement scalable real-time data pipelines, contribute to architectural improvements for ML pipelines, and work on microservices for ML model training and inference. The role involves collaboration with data scientists and engineers to tackle complex data challenges in a fast-paced environment.

The Principal Engineer, AI/ML will lead competencies in machine vision, NLP, and generative AI. Responsibilities include designing and fine-tuning machine learning models, deploying and monitoring models on the cloud, and ensuring scalable and robust systems and APIs.

As a Sr. Product Manager for Conversion Visibility, you will lead cross-functional teams to enhance consumer data usage for ad personalization and effectiveness measurement. You'll collaborate with various teams to develop product strategies and ensure alignment for successful execution.

The Global Alpha Researcher will develop market-neutral trading signals by implementing academic research, creating algorithms, analyzing datasets, and utilizing machine learning for alpha discovery and portfolio management.

The Sr. Manager/AD - BI Strategy and Consulting will analyze business requirements, develop conceptual data models, ensure compliance, and drive business value from data through effective BI strategies. This role requires collaboration with cross-functional teams and will involve managing client escalations and validation of data quality.

The BI Strategy Consultant will analyze business requirements, create data models, design reviews, and manage client issues. Responsibilities include building BI strategy, collaborating with analysts, ensuring data quality, and driving insights from data.

The Senior Product Marketing Manager will lead the go-to-market strategy for AI-driven products in the secure document exchange space, working with product development, sales, and marketing teams. Responsibilities include developing commercialization strategies, creating collateral, conducting market research, and presenting insights to drive business outcomes and product alignment.

The Senior Product Manager will lead the development of consumer-facing products in the Generative AI scam security space, focusing on product strategy, cross-functional collaboration, and timely execution. The role involves managing ambiguity, understanding user needs, and conducting market analysis to create innovative security solutions.

As the Director of Engineering for Machine Learning, you'll lead multiple teams to advance deep learning applications in robotics, manage large teams, and develop collaborative relationships to drive technical vision in autonomous driving.

As a Senior Principal AI/ML Engineer, you will lead the development of machine learning and generative AI solutions, mentor cross-functional teams, and collaborate with non-technical stakeholders. Expect to oversee organizational initiatives from inception to operationalization while providing technical vision and guidance, ultimately driving business impact through advanced analytics and machine learning applications.

The Sr. Experience Designer will lead the design of AI-powered workflows, translate complex AI functionalities into user-friendly experiences, and collaborate with teams to ensure innovative yet user-centric designs. They will also focus on AI experimentation and responsible integration of AI technologies.

Manage a team of data scientists and machine learning engineers to develop AI products that enhance business performance and operations. Translate data findings for business strategy and decision-making. Lead the implementation of data strategies and ensure robust data architecture and management while fostering team development.

The Staff Software Engineer will lead efforts in architecting, implementing, and maintaining ML infrastructure to enhance services like recommendations and feeds on Reddit's Machine Learning Platform, while mentoring team members and optimizing workflows.