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Top Senior Machine Learning Engineer Jobs in San Francisco, CA
In this role, you'll leverage machine learning to build and deploy models to identify and mitigate risks. You'll collaborate cross-functionally with stakeholders while developing scalable frameworks to enhance analytical capabilities, and present insights to the company.
As a Senior Machine Learning Engineer, you will design and implement ML pipelines to enhance identity verification processes, using machine learning to prevent inauthentic identities within Cash App's ecosystem. Collaborate with teams to develop ML strategies and create solutions that scale to millions of users.
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As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train sophisticated models, and collaborate with various teams to integrate AI functionalities into products. You will design architectures, experiment rigorously, and guide junior engineers to leverage AI's transformative potential across the organization.
The Senior Machine Learning Engineer will design and build the Cash App's chatbot, focused on enhancing customer support through machine learning. This role includes collaborating with various teams to implement ML models, creating high-throughput modeling pipelines, and researching next-generation AI technologies.
The role involves designing, building, and maintaining machine learning systems for real-time fraud detection. Responsibilities include collaborating with ML modelers, integrating data sources, and solving technical problems at scale.
As a Senior Machine Learning Engineer at Samsara, you will lead ML initiatives, develop end-to-end applications, and collaborate with cross-functional teams. Your work will have a significant impact on improving the safety, efficiency, and sustainability of physical operations.
As a Senior AI Engineer, you will design and maintain large-scale AI/ML pipelines, train and tune models, and develop evaluation frameworks for machine learning and large language models. Collaboration with a team of AI engineers is essential for optimizing network applications.
The Senior Machine Learning Engineer will design and implement ML pipelines to address fraud in Cash App's banking products. Responsibilities include developing and maintaining ML models, collaborating across teams, and enhancing risk management through machine learning solutions.
Featured Jobs
As a Principal/Senior Machine Learning Engineer, you will design and implement machine learning solutions that enhance the Search and Discovery system at Roblox, focusing on user and content understanding, recommendation models, and natural language understanding. You will work on creating scalable solutions to drive engagement and improve user experience.
As a Senior Machine Learning Engineer, you will develop models for search, recommendation, and content understanding in the Marketplace. Responsibilities include building innovative end-to-end ML solutions, leading projects, mentoring engineers, and ensuring system scalability and reliability.
The Senior Principal Machine Learning Engineer will lead the integration of AI capabilities into Atlassian products, focusing on developing innovative machine learning models and extracting insights from vast datasets. This role involves collaboration across teams to ensure the intuitive implementation of AI features and the education of team members about AI potential.
As a Senior/Principal Machine Learning Engineer at Roblox, you will develop end-to-end ML solutions for search and recommendation systems, tackle technical challenges, lead projects, mentor engineers, and ensure scalable system performance.
The Senior Machine Learning Engineer will develop and implement innovative machine learning models focused on ad engagement optimization, including CTR prediction and feature engineering. Responsibilities include collaborating with cross-functional teams, mentoring peers, and contributing to strategic developments in ads ML at Reddit.
This role involves building large-scale machine learning systems to improve user connections on Roblox. The engineer will create social features driven by ML, scale systems for millions of users, define long-term strategies, and mentor junior engineers.
As a Senior/Principal Recommendations Infrastructure Engineer, you will design and develop scalable and reliable infrastructures for recommendation systems, optimize performance, stay updated with ML trends, and collaborate across teams to enhance tooling on the ML Platform at Roblox.
As a Senior Machine Learning Engineer at Reddit, you'll lead projects from ideation to production, focusing on personalized user experiences. Responsibilities include applying ML techniques, deploying models, collaborating with other teams, and working with large-scale data to improve user retention and growth metrics.
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The Senior Machine Learning Engineer at Iterable will lead data projects to launch new ML products, enhance predictive features, and collaborate with teams to integrate AI technologies. Responsibilities include maintaining ML pipelines, mentoring junior engineers, and exploring innovative AI advancements.
As a Senior Machine Learning Engineer in Monetization Engineering, you will develop and execute a vision for the ML tech stack within Ads, build advanced ML technologies, collaborate with cross-functional teams to enhance ML models, apply data-driven methods, and keep pace with trends in recommendation systems and content understanding through LLMs.
As a Senior Machine Learning Engineer at Step, you will design, develop, and deploy ML models for Risk and Fraud detection. You will lead technical efforts, manipulate data with SQL, write robust code, design experiments for model performance evaluation, and collaborate with teams to enhance operations.
As a Principal Machine Learning Engineer, you will develop and optimize recommendation systems for Disney's streaming services. Collaborating with data science and product teams, you'll lead algorithm research, manage stakeholder expectations, and ensure alignment with larger company objectives, while maintaining high performance metrics.
As a Staff Machine Learning Engineer, you will build and integrate ML solutions to evaluate customer cash flow risks, optimize decision-making processes, and identify growth opportunities through comprehensive data analysis. Collaboration with finance, product, and engineering teams is essential, while utilizing a range of ML algorithms and techniques to improve customer experience.
As a Principal Machine Learning Engineer, you will lead the implementation of machine learning algorithms and train sophisticated models in collaboration with various teams. Your responsibilities will include designing architectures, conducting experiments and model evaluations, and mentoring emerging ML engineers to enhance AI functionalities across Atlassian's products.
As a Machine Learning Engineer II at Affirm, you will develop and implement fraud detection models using machine learning techniques. Your role involves leveraging proprietary and third-party data, building ML infrastructure, scaling data pipelines, and collaborating with various teams to improve fraud risk management. You will impact Affirm’s financial performance by ensuring secure and trustworthy transactions for users.
The Senior Staff Machine Learning Engineer will lead the technical strategy for identity resolution, developing ML models, managing workflows, and collaborating across teams to ensure compliance and scalability. Responsibilities include mentoring engineers and establishing engineering best practices.
As a machine learning engineer, you'll design algorithms, solve technical problems, and enhance production recommender systems, impacting millions of users. You'll work on various data products using demographic, transactional, behavioral, social, and audio/video data. Strong coding and distributed computing skills are necessary.
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