Top Machine Learning Engineer Jobs in San Francisco, CA
As a Machine Learning Engineering Manager at Snap, you will lead a team to develop models and evaluate embedding systems for enhancing user and content comprehension, while ensuring the platform's architecture is robust and scalable. You'll collaborate closely with infrastructure and ranking teams to improve product performance through iterative development.
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As a Principal Machine Learning Engineer at Atlassian, you will lead the development of advanced machine learning algorithms, work with diverse teams to integrate AI capabilities into products, design architectures, conduct experiments, and mentor junior engineers, thereby enhancing AI functionalities across the platform.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating their performance. Responsibilities include data collection design, feature engineering, and building evaluation frameworks.
The Staff Software Engineer, Machine Learning Infrastructure at Snap Inc will design and build scalable machine learning workflows, backend infrastructure for cloud and mobile inference, and data management systems. The role involves collaborating with product teams to integrate machine learning solutions into Snap's applications.
As a Senior Machine Learning Engineer, you will design and implement ML applications at scale, collaborate with Agile teams, develop ML models, ensure high availability, and optimize data pipelines. You will also maintain and monitor models in production while adhering to best practices in AI governance.
As a Senior Machine Learning Engineering Manager, you will lead the development and implementation of advanced machine learning algorithms, collaborating with various teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing architectures, conducting experiments, and guiding junior engineers to ensure the effective application of AI across the organization.
In this role, the Senior Machine Learning Quality Engineer will focus on test automation, primarily using Java and Python. Responsibilities include testing large-scale production systems, evaluating AI/ML model quality, and creating test cases from project requirements while requiring strong analytical and problem-solving skills.
As a Senior Machine Learning Engineer at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams and cross-functional partners to deliver core infrastructure and optimize services across the ML pipeline.
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The Principal Machine Learning Engineer will design and implement machine learning components and services, build a next-generation training framework, optimize model training with GPUs, develop an AutoML platform, and collaborate across teams to meet product requirements.
As a Machine Learning Engineer at Samsara, you will develop ML solutions to enhance physical operations, working with cross-functional teams to deliver infrastructure, services, and optimizations. Your role will involve initiating ML projects, designing end-to-end systems, and aligning with industry research.
As an AI Engineer, you'll train and tune models, perform evaluations using AI/ML models, engage in data collection design, and maintain large-scale pipelines. You'll collaborate with AI engineers to enhance transformer models and build evaluation frameworks.
As a Staff Machine Learning Engineer, you will develop content understanding signals and horizontal knowledge graphs to enhance recommendation systems. Your role involves leveraging advanced machine learning and natural language processing techniques, collaborating with cross-functional teams, and driving tech strategies to solve complex challenges.
In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.
The Director of Engineering for the Machine Learning Platform at Reddit is responsible for leading machine learning teams, managing projects, and setting strategies to enhance recommender systems. This role includes fostering team growth, executing projects efficiently, and staying updated with the latest advancements in ML.
The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.
As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.
As a Staff Machine Learning Engineer, you will develop advertiser optimization products to enhance bidding systems, ensuring efficient operations and ROI. Responsibilities include collaborating with cross-functional teams, guiding engineering designs, conducting experiments, and improving campaign management systems.
As a Staff Machine Learning Engineer for Ads Candidate Generation at Pinterest, you'll lead the development of advanced machine learning models and strategies for ad candidate generation, leveraging techniques such as LLMs and GPU optimization to improve recommendation systems and ad retrieval processes.
The Sr. Staff Machine Learning Engineer for Ads Ranking will lead the development of advanced machine learning projects aimed at improving ad conversion. Responsibilities include designing large-scale models, inferring user interests from various signals, coaching team members, and collaborating with product/sales teams to create impactful ad products.
In this role, you will develop and execute the machine learning technology stack for Ads, build technology using cutting-edge deep learning methods, collaborate with various teams to enhance ML models, and keep up with trends in recommendation systems.
The Manager II, Machine Learning - Search Relevance will lead the Search Relevance team at Pinterest, focusing on improving search quality for over 500 million users. Responsibilities include mentoring engineers, collaborating with cross-functional teams, and driving the strategic vision for search relevance using machine learning advancements.
As a Principal Machine Learning Engineer, you will lead R&D initiatives in autonomous vehicle technology, define team strategy, drive business impact through tech solutions, prototype and implement models, mentor engineers, and promote a culture of inclusion and innovation.
As a software engineer focused on machine learning, you will work on deep learning research, contribute to data pipelines, develop infrastructure for experimentation, and collaborate with engineers to enhance model performance. Your work aims to improve machine intelligence through code generation and rigorous experiments.
Responsible for developing state-of-the-art machine learning projects for ads engagement modeling, designing features, building large-scale ML models, inferring user interests, and collaborating with product and sales teams on new ad products.
The Senior Machine Learning Engineer will work on the Perception and Prediction team to enhance autonomous vehicle capabilities. Responsibilities include defining team direction, architecting solutions, prototyping, deploying solutions, and collaborating with team members while mentoring junior engineers in a cutting-edge environment.
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