Top Machine Learning Jobs in San Diego, CA

The Senior Engineering Manager will lead multiple small teams, partnering with Product and Design to define the product roadmap and technical strategy. They are expected to stay hands-on technically, mentoring team members while ensuring alignment with HubSpot's mission. The role involves communication, leadership, and building a strong engineering culture focused on growth and continuous improvement.

The Enterprise Account Executive will drive revenue by acquiring and nurturing strategic enterprise client relationships, leading contract negotiations, and developing customized sales strategies. The role involves collaborating across teams and promoting Traba's mission within the industrial supply chain.

The Sr. Manager in AI/ML Engineering at NIKE will lead teams of machine learning engineers and data scientists to deliver scalable AI solutions. This role involves mentoring, driving innovation, and executing on AI/ML strategies while ensuring engineering excellence. The candidate will collaborate across teams to implement MLOps practices and stay current with industry trends.

As a Lead Machine Learning Engineer, you will develop advanced analytics and machine learning solutions impacting the business. Responsible for full project ownership, you will utilize technologies like Python, AWS, and various data engineering tools to implement scalable applications, while leading and mentoring a team in an agile environment.

The Senior AI/ML Engineer will design and implement machine learning algorithms and systems, manage version control, and integrate AI components into WEX systems. The role requires collaboration with cross-functional teams, effective communication, and a balance of speed and regulatory needs in application development.

As a Staff Machine Learning Engineer, you will design, implement, and maintain machine learning algorithms and systems, work on integrations with AI components, and help automate CI/CD pipelines using your expertise in Python and cloud technologies.

The Senior AI/ML Engineer will design, implement, and maintain machine learning algorithms and pipelines, collaborate with the AI platform and engineering teams, manage version control with GitHub, and develop RESTful APIs. They will work in a regulated industry, advocating for team decisions and balancing speed with compliance requirements.

As a Technical Manager for Homes.com, you will lead a team in developing and operating Machine Learning solutions. You will collaborate with engineering teams and product owners, take ownership of development processes, recruit and mentor staff, influence technical strategy, and act as a trusted advisor in AI and data science. This role emphasizes fostering a culture of innovation and continuous improvement.

The SVP, Insights Technology will design and deliver advanced insights solutions, overseeing product management and software engineering teams while engaging clients to create tailored technology solutions. This role involves managing technology portfolios, collaborating across functions, and adapting to evolving technological landscapes.

As a Principal Product Manager for SentinelOne's AI/ML team, you will define and execute the product vision and roadmap, prioritize features, conduct market research, and collaborate with cross-functional teams to develop AI-powered cybersecurity solutions. Your role will require managing product releases, working with sales and marketing on strategies, and continuously improving product offerings based on customer feedback and market trends.

The Product Manager at Jarvis ML will lead product development efforts, collaborating with engineers, sales, and marketing to create and enhance user experiences. The role involves understanding customer needs, defining product requirements, driving solutions to market, and employing analytics for product performance improvement.

As a Senior Machine Learning Engineer at Homes.com, you will design, build, and deploy scalable machine learning models to enhance real estate data processing and improve user experiences. You will work collaboratively with engineering teams to solve practical problems while developing pipelines for data collection, model training, and performance measurement.

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 Lead Machine Learning Engineer, you will oversee the design, development, and deployment of machine learning models and systems. This role includes managing data pipelines, conducting code reviews, and providing mentorship and technical leadership to enhance AI and machine learning capabilities. You will also optimize system performance and ensure adherence to development standards within a collaborative team environment.

The Machine Learning Engineer/Researcher will enhance Stellar Cyber's Open XDR platform by researching and developing machine learning algorithms for threat detection, designing data schemas, collaborating with data integration and security teams, and implementing product features while monitoring detection efficacy.

As a Machine Learning Engineer at Tiger Analytics, you will develop, deploy, and optimize data science solutions, build production data pipelines, and ensure the scalability of machine learning systems. Collaborating with cross-functional teams, you'll drive strategy and enhance business value using advanced analytical skills.

As a Machine Learning Engineer at Tiger Analytics, you'll design, deploy, monitor, and improve scalable machine learning systems and data pipelines. You will collaborate with cross-functional teams to solve complex data challenges, communicate outcomes, and drive business strategies with your analytical expertise.