Top Machine Learning Jobs in San Diego, CA

The role involves designing and maintaining ML infrastructure, ensuring performance and security, collaborating with ML engineers, and implementing modern AI capabilities.

Lead the Safety ML team at Discord, developing AI/ML infrastructure, collaborating on safety challenges, and mentoring engineers while driving technical strategy and innovation.

As a Senior Data Scientist, you will collaborate across teams to enhance data science, analyze models, and improve product features to aid student writing.

Lead the development of data science solutions for inventory and logistics planning, optimize planning processes, and deploy predictive models. Collaborate across functions and present insights to stakeholders.

Lead the design and deployment of scalable ML systems, mentor engineers, and collaborate on impactful ML solutions in production environments.

As a Senior Machine Learning Engineer, you'll develop perception modules for autonomous vehicles, focusing on scalability and adaptability across global environments. Responsibilities include collaborating on algorithms, conducting large-scale experiments, and end-to-end deployment of models.

The Software Engineer (Full Stack) will develop and deploy clinical AI/ML products, ensuring product quality and collaborating with cross-functional teams.

Lead the design and deployment of scalable ML infrastructure, focusing on MLOps and LLM strategies, while mentoring team members and ensuring operational maturity.

The Staff Machine Learning Engineer will lead ML initiatives, develop and deploy models, mentor other engineers, and align efforts with business goals to drive growth at Niche.

As a Lead AI/ML DevOps Engineer, you will oversee AI/ML model development and deployment, enhance CI/CD processes, and mentor a DevOps team.

The Senior ML Solutions Architect will design and implement LLM-based AI solutions, collaborate with clients, and enhance the Nebius platform.

As a Lead Machine Learning Engineer, design and maintain scalable ML solutions, optimize workflows, evaluate model performance, and collaborate with cross-functional teams to integrate complex data-driven applications, ensuring high reliability and performance standards.

As a Senior Machine Learning Engineer, you will build and productionize ML models, develop scalable infrastructure, and mentor teams to optimize marketing products.

As a Software Engineer, you will enhance Machinify's AI/ML systems for healthcare claims processing by building robust data science solutions and collaborating closely with data scientists.

Responsible for developing and maintaining Machine Learning pipelines. Lead projects, mentor team members, and collaborate across teams.

Design and deliver customer experience solutions using machine learning techniques, analyze customer data, implement ML algorithms, and automate processes.

Design and deploy scalable machine learning solutions using AWS services, collaborate with teams, mentor others, and ensure best practices in data and ML lifecycle.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

As a Senior Python Engineer at ClickHouse, you will enhance the Python ecosystem for data scientists and ML teams, ensuring efficient data integration and optimizing workflows within the open-source environment.

The Principal ML Infra Engineer will design and maintain scalable ML infrastructure, collaborate cross-functionally, manage technical projects, and mentor team members.

The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.

The Senior Solution Innovation Architect will design and implement AI/ML solutions on the Snowflake platform, collaborate with customers, and provide technical expertise in ML and AI applications.

Lead development and integration of AI and ML at Life360, driving growth through data science across business domains, while mentoring a high-performing team.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.