Top Machine Learning Jobs in San Diego, CA

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

You will design, build, and maintain Machine Learning systems for identifying fraudulent activities. Collaborating closely with ML Modelers, you'll integrate new data sources and solve technical challenges across a global team. Your role involves owning solutions from design through operation while improving fraud detection capabilities.

The Principal Data Insight Analyst at Northrop Grumman will create data mining architectures, statistical reports, and data analysis methodologies to identify trends in large datasets. The role involves collaborating with business stakeholders, managing data integrity, and developing predictive models while ensuring compliance with security clearances.

The Staff Product Manager will lead the Auto Targeting and Core 1P Targeting efforts at Reddit, defining product strategy and roadmap, gathering requirements from stakeholders, and ensuring successful execution through cross-functional collaboration. The role emphasizes strategic influence, market analysis, and product development in the advertising sector.

The Staff Product Manager will drive strategy and execution for projects integrating ranking and machine learning into Reddit's core experience. Responsibilities include defining team strategy, collaborating on ranking models with engineering and design, conducting experiments, and understanding competitive user experiences.

The Lead Data Scientist, ITS will develop and refine predictive models, collaborate with cross-functional teams to gather requirements, and drive data products to production. This role involves creating algorithms to solve business problems, conducting experiments to identify data anomalies, and leading projects to deliver data-driven results.

As a Staff Product Manager for Notifications Relevance, you will create a visionary strategy for the Notifications platform, utilizing machine learning to enhance user engagement through effective notifications, while analyzing user behavior and driving partnerships across teams to foster growth.

The role involves building computer vision models for 3D scans, conducting research on state-of-the-art methods for AI and conventional tasks, collaborating with product teams, and implementing MLOps best practices to enhance Dandy's dental technology solutions.

The Product Owner will define and communicate the vision for AI capabilities, collaborate with stakeholders to gather requirements, manage product development and changes, ensure product quality, and lead the team using agile methodologies. They will align AI features with business goals and train teams on product benefits.

As a Cybersecurity Product Manager, you'll lead security initiatives by partnering with engineering teams to create product roadmaps, manage technical specifications, and ensure compliance with cybersecurity standards. Responsibilities include analyzing market trends, optimizing products using metrics, and integrating customer feedback into the development process.

The Chief of Staff will support the CEO of Tucows Domains in facilitating decision-making and developing a cohesive business strategy. Responsibilities include aligning operational processes with strategic goals, integrating departmental visions, deploying new technologies, and identifying organizational strengths and weaknesses to ensure growth and innovation.

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.

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.