Top Hybrid Machine Learning Jobs in San Francisco, CA
Build cloud-based AI/ML solutions to power intelligent enterprise services, collaborate with a team to produce quality software, work with product owners to deliver high-quality solutions
Lead a team of machine learning engineers and software engineers in developing and optimizing a personalized video recommendation engine. Define the architecture of the content recommender system for scalability and performance. Drive rapid iteration and evaluate technical tradeoffs to continuously improve the recommender system. Conduct A/B testing and analyze performance metrics.
Senior AI Engineer responsible for training, tuning, and evaluating AI/ML models including Deep Learning and Large Language Models. Design and implement large-scale AI/ML pipelines and evaluation frameworks. Proficiency in Python and machine learning frameworks like SKLearn, PyTorch, and Tensorflow required.
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Join Grammarly as a Machine Learning Engineer specializing in NLP to build new products and capabilities for Enterprise customers. Work with a high-performing team to apply ML to solve challenging problems and improve communication in customer organizations.
Building large-scale ML systems to connect people on Roblox, focusing on social graph embeddings and systems. Driving company objectives for friending growth and user retention. Collaborating with product and design teams to push boundaries.
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Join our AI team as an ML Engineer to incorporate AI technologies into our product and stay up-to-date with the latest trends.
Design and build ML architectures and data pipelines for large-scale data repositories. Work on Clari's AI models and platform. Collaborate with stakeholders to deliver enterprise products. Fully remote opportunity in the United States.
Apply advanced machine learning techniques including natural language processing, speech analytics, and recommendation systems. Collaborate with cross-functional teams to implement solutions and drive firm-wide initiatives. Develop state-of-the-art machine learning models for real-world problems.
Seeking a Principal Data Scientist with strong engineering skills to drive ML and AI capabilities across multiple teams. Responsibilities include hands-on development work, tech leadership, mentoring, and driving technical standards. Requires 8+ years of impactful experience in ML and AI implementation, deep hands-on experience with data products and infrastructure, and expertise in major technologies like Airflow, DBT, AWS, etc.
As a Principal Machine Learning Engineer, you will work on the Perception and Prediction team to develop autonomous driving capabilities. You will drive R&D initiatives, design and train neural networks, prototype and deploy solutions, and mentor junior engineers. You will also have the opportunity to pioneer research and contribute to the culture of inclusion and innovation within the company.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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