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Top Remote Machine Learning Engineer Jobs in San Francisco Bay Area
The Staff Machine Learning Engineer will lead cross-functional projects focused on developing and optimizing machine learning solutions within the Square Conversational AI team. Responsibilities include collaborating with business leaders, building data-driven products, and providing mentorship, while advocating for engineering best practices.
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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 Staff Machine Learning Engineer on the Conversational AI team, you will lead projects to automate and optimize Square products using cutting-edge machine learning techniques. Responsibilities include collaborating cross-functionally, advocating for best practices, and mentoring team members while building and productionizing ML solutions.
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.
The Staff Machine Learning Engineer will drive the AI/ML strategy to enhance customer support experiences, lead the development of natural language processing systems, and collaborate with product and engineering teams at Canva. This role entails building and deploying machine learning models, and leveraging existing ML capabilities across the organization.
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 role involves developing and implementing machine learning solutions for churn risk assessment, product recommendations, and customer engagement. The candidate will lead cross-functional projects, advocate for best practices, and collaborate with stakeholders for ML strategy execution.
The Staff Machine Learning Engineer will integrate ML solutions to assess customer cash flow risk, support multiple products, and enhance automated decision-making using AI/ML within Cash App's Underwriting and Credit team. The role involves experimenting with modeling techniques on customer data and collaborating with cross-functional teams to drive growth.
Featured Jobs
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The Staff Machine Learning Engineer will develop and integrate machine learning solutions to assess customer cash flow risk, support multiple products, optimize decision-making processes using AI/ML, and collaborate with finance, product, and engineering teams.
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.
As a Senior Machine Learning Engineer, you will develop the Cashbot chatbot and implement intelligent customer support solutions using machine learning models. Responsibilities include creating modeling pipelines and conducting research on advanced AI solutions while mentoring junior team members.
As a Senior Machine Learning Engineer, you'll design, build, and maintain ML systems to detect fraudulent activities in real-time. You'll collaborate closely with ML Modelers and Software Engineers, integrating new data sources and models while solving complex technical challenges at scale. You'll take ownership of your solutions from development to operation, ensuring effectiveness and reliability.
The Principal Machine Learning System Engineer will build and maintain the infrastructure for Machine Learning models, tackling complex challenges in architecture and collaborating with various teams to ensure effective integration across the organization.
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 Machine Learning Engineer in Banking, you will utilize ML methods to combat fraudulent behavior in Cash App's financial products. Your role involves designing ML pipelines, developing risk-based solutions for customer access, and working closely with a cross-functional team to implement scalable solutions for millions of 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 Senior Machine Learning Engineer on the Identity team, you will utilize machine learning to reduce inauthentic identities, enhance customer access to financial services, and build ML pipelines and infrastructure for scalable solutions. The role involves close collaboration with Data Scientists and other engineers to implement long-term ML strategies and improve services.
As a Staff Machine Learning Engineer, you will develop optimization products for Reddit's advertising system, utilizing machine learning strategies to enhance bidding efficiency and ROI for advertisers. Responsibilities include leading the engineering team, designing algorithms, conducting experiments, and collaborating with cross-functional teams.
As a Machine Learning Engineer, you will develop optimization systems for ad campaigns, utilizing machine learning to enhance advertiser budgets and improve outcomes. Responsibilities include building algorithms, conducting A/B tests, and cooperating across teams to ensure the effectiveness of models in real-time auction systems.
As a Staff Machine Learning Engineer, you will design scalable ML data pipelines and production systems, optimize models, and implement best software practices. Collaborating with a team to contribute to the overall AI strategy and driving business impact will be key. You will also engage in transitioning prototypes to robust systems and improving models in production.
As a Staff Machine Learning Engineer at Pinterest, you will conduct innovative research in machine learning and AI, utilizing techniques such as natural language processing and graph analysis to solve complex modeling problems. Your role includes writing efficient code and collaborating with cross-functional teams to apply data-driven solutions across various Pinterest projects.
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 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 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.
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