Top Senior Machine Learning Engineer Jobs in San Francisco, CA

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

Lead development of GenAI products, improve LLM quality, design ML pipelines, and collaborate with cross-functional teams to enhance AI solutions.

As a Senior Data Scientist, you will apply quantitative analysis and machine learning to drive business impact, build models, and influence product decisions. You will also help shape the data science roadmap at Plaid, fostering a data-first approach across the organization.

As a Senior Machine Learning Engineer, you'll design and build AI systems, manage ML lifecycles, and create recommendation and retrieval systems while collaborating cross-functionally.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

The Senior AI/ML Tooling Engineer will develop tools for analyzing ML model performance, collaborating with engineering teams, and optimizing training and inference.

You will lead the development of machine learning models on Adobe Stock's Content Intelligence team, collaborating to innovate solutions.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.

Develop and optimize 3D graphics algorithms for sensor simulation, leveraging GenAI/ML techniques. Collaborate with various teams to enhance simulation realism and generate high fidelity data.

Design and optimize large-scale retrieval and recommendation systems using machine learning to enhance personalized learning experiences for Quizlet users. Collaborate with cross-functional teams to ensure responsible and effective modeling practices.

The Staff Machine Learning Engineer will lead the architecture for the Stripe Assistant, improve ML methods, mentor engineers, and ensure reliable, high-trust AI interactions with users.

Lead the development of AI systems for vulnerability detection and penetration testing with expertise in AI/ML technologies and cybersecurity principles.

The role involves developing advanced machine learning solutions, collaborating with experts, and managing ML model architecture and deployment.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Develop and deploy machine learning models for predictive analytics, automate risk assessments, and extract data using advanced AI techniques. Collaborate with teams to enhance the product portfolio with innovative solutions.

Design and implement ML models and systems for the Highlight AI desktop assistant, collaborating with cross-functional teams to integrate AI features into the product.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will design innovative machine learning models for drug discovery, leveraging large-scale single-cell datasets and collaborating with ML Scientists to develop optimized models.

Design and implement models for spatial-temporal visual reasoning in autonomous driving, collaborating with ML engineers to optimize LLM/VLM performance.

The role involves designing, developing, and deploying ML models, collaborating with cross-functional teams, and improving model performance through testing and experimentation.

As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.

The Senior Machine Learning Engineer will design, implement, and scale advanced foundation models, collaborate with researchers, and build AI systems. Requires hands-on experience with distributed training pipelines and proficiency in AI frameworks.

The Senior Machine Learning Research Engineer will develop and deploy deep learning pipelines, optimize model training, and collaborate with scientists to enhance AI/ML capabilities for cancer detection.

The role involves developing advanced multimodal customer experiences using AI, mentoring others, and refining AI processes for Zillow's platforms.