Top Machine Learning Jobs in San Francisco, CA
As a Machine Learning Scientist, you will drive research in generative modeling technologies for biomolecular design, develop deep learning methods for protein prediction, curate datasets, and collaborate with biology teams. The role requires implementing and analyzing computational approaches and shaping the scientific vision of the company.
As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.
.jpeg)
As an AI Quantitative Strategist at WorldQuant, you will develop and implement AI/ML models for trading optimization and investment strategies. You will work collaboratively on innovative projects while leveraging state-of-the-art data and systems. The role emphasizes building infrastructure for AI and involves explaining model business value to stakeholders.
Featured Jobs
As an AI Engineer & Researcher at xAI, you will build end-to-end features, establish monitoring systems for data quality, drive data collection projects, and innovate methods for data generation. You will collaborate with cross-functional teams to improve the AI platform while ensuring security and scalability.
AI Engineer & Researcher focused on building data processing systems, managing cloud compute clusters, and pre-processing datasets for AI training. Strong communication skills and passion for improving data and models required.
The Senior Machine Learning Engineer will work on developing AI-powered software, fine-tuning large language models, conducting multimodal product research, and ensuring model alignment to improve user experience at Scribe.
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.
The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.
As a Senior Machine Learning Engineer, you will research, develop, deploy, and monitor ML models to enhance patient engagement and outcomes. You will collaborate with software engineers to create scalable software and infrastructure, translating business objectives into machine learning problems and analyzing user data to optimize treatment processes.
As a Perception Software Engineer at Zipline, you will be responsible for developing and implementing innovative perception systems for autonomous aircraft. This includes selecting sensor configurations, designing algorithms for object perception and avoidance, building software infrastructure to improve algorithms, and collaborating with various teams for effective decision-making processes.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
.jpeg)
All Filters
No Results
No Results
