Top Machine Learning Jobs in San Diego, CA

Design and maintain scalable machine learning infrastructure, collaborating with data scientists, ensuring performance, security, and compliance of AI systems.

The ML Engineering Intern will contribute to the Nebula LLM development, tackle machine learning challenges, and gain hands-on experience in AI and language technology.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

As a Principal Machine Learning Engineer, you will design and develop machine learning applications, lead teams, and ensure project management excellence while engaging with clients.

Lead the development of AI systems for Unity's engine, focusing on multi-agent systems, reinforcement learning, and intelligent decision-making.

Design and build infrastructure for ML model training and deployment. Collaborate with teams and monitor performance using AWS tools. Focus on reliability and efficiency in high-availability environments.

Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.

Lead and mentor ML and Software Engineers in building scalable AI systems, drive technical strategy, and foster collaboration across teams.

The Data Scientist will analyze clinical data for the VA, develop performance measures, conduct complex analyses, and create data visualizations while collaborating with cross-functional teams.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

Manage and expand sales territory for AI-powered healthcare software, driving revenue growth and building strong relationships with hospital executives and decision-makers.

The Vice President of Engineering will lead TraceGains' technology organization, overseeing R&D teams, product roadmaps, innovation culture, and cloud technology implementation.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Customer AI engineer develops prompts and applications for customers, ensuring content meets specific requirements by utilizing programming, linguistic skills, and collaboration with teams.

As a Customer AI Engineer, you'll develop prompts and applications, collaborate with teams to meet customer needs, and document processes while utilizing linguistic expertise.

Lead product strategies for Moloco Ads, focusing on mobile app publishers. Identify growth opportunities, manage a large engineering team, and drive product development with an analytical approach.

The Senior Applied AI Engineer will design and optimize AI models, lead experimentation and evaluation strategies, and collaborate across teams to enhance system performance.

The AI Solution Sales Specialist will drive sales of AI solutions, collaborate with teams to ensure customer adoption, and manage complex sales cycles.

The Growth Sales Manager leads a sales team to drive revenue growth, providing coaching and strategic direction to enhance customer retention and sales efforts.

As a Machine Learning Engineer, you will develop and deploy AI/ML solutions, collaborate with product managers and engineers, and improve learning experiences.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

Lead the backend engineering team for Runway's machine learning platform, focusing on building infrastructure, monitoring, and scaling production processes.

Design, implement, and maintain ML solutions using AWS SageMaker. Develop end-to-end ML pipelines and collaborate on model deployment to enhance data-driven decision-making.

Develop and optimize large-scale ML models and training pipelines for automating PCB layouts, collaborating on data pipeline design and novel architectures.

As a Senior ML Ops Engineer, you'll build ML infrastructure, implement automated deployment, optimize model serving, and ensure production performance.