Top Remote Machine Learning Engineer Jobs in San Francisco Bay Area
The Machine Learning Engineer will design, evaluate, and deploy large scale ML systems, collaborating with cross-functional teams to enhance user experiences. The role involves working with large data systems and evaluating ML system performance, along with participating in on-call rotations as needed.
As a Machine Learning Engineer, you will maintain accurate financial records, analyze data, prepare reports, ensure compliance, and support budgeting and audits. You will play a key role in process improvements and communicate financial information effectively across teams.
As a Staff Machine Learning Engineer on the Bidding Policy team, you will build and implement ML models for accurate bidding decisions in high-volume auctions. The role entails end-to-end ownership of systems design, monitoring ML research, and collaboration with a team of engineers.
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As a Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train models, and collaborate with cross-functional teams to integrate AI functionalities into Atlassian products. You will design system and model architectures while conducting rigorous experimentation and evaluations to enhance product capabilities.
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.
The Senior Staff Machine Learning Engineer at ServiceNow will be responsible for building AI and Machine Learning solutions to transform user experience and workflow efficiency. They will collaborate with a team to develop cloud-based AI/ML solutions for enterprise services and work closely with product owners to deliver high-quality solutions.
As a Staff Machine Learning Engineer, you'll design, develop, and deploy machine learning solutions to optimize Instacart's marketplace systems. You'll collaborate with various teams to ensure that ML applications align with business goals and address practical challenges, enhancing operational efficiency through refined algorithms and models.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with various teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing system and model architectures, conducting experimentation, and guiding emerging ML engineers.
Featured Jobs
As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities into Atlassian products, extract knowledge and insights from data, and transform the way teams collaborate. You will craft and implement machine learning models, analyze large datasets, design robust models, collaborate with cross-functional teams, and drive AI adoption. Compensation for this role ranges from $198,400 to $318,600 per year.
In this role, you will manage the accounting functions, ensuring accurate financial records, preparing financial reports, and maintaining compliance with regulations. You will analyze expenditures, review transactions, assist in financial statements preparation, and improve accounting processes. Communication and analytical skills are essential for collaborating across departments and supporting financial health.
The Machine Learning Engineer will design and build advanced machine learning models for high-value inventory prioritization in Real-Time Bidding. Responsibilities include developing algorithms, enhancing ML infrastructure, conducting statistical experiments, and collaborating on data pipelines. The role requires expertise in machine learning and experience in software engineering.
Design and develop scalable platforms and services focused on driving business impact using machine learning. Define ML roadmap, make architectural decisions, and contribute to AI strategy. Maintain scalable ML data pipelines, optimize deep learning models, and drive revenue growth through high-value product attributes. Promote software engineering best practices and automate workflows. Deploy, monitor, and improve models in production environments. Proficiency in Python, PyTorch, Kubernetes, RDBMS, and cloud-native application development is critical.
Develop a scalable AI platform to automate tasks and enhance developer productivity at Block. Collaborate with teams to implement AI solutions and drive AI innovation. Serve as an expert in AI technology and guide the company in AI strategy implementation.
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
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.
Manage accounting functions, analyze financial data, ensure regulatory compliance, and contribute to budgeting and forecasting. Prepare financial statements, assist with audits, and improve accounting processes. Strong analytical, communication, and problem-solving skills required.
The Senior Machine Learning Engineer will lead projects in automating and optimizing Square product features using conversational and generative machine learning techniques. They will collaborate with business leaders, develop new ML & data products, and drive end-to-end cross-functional machine learning projects.
Staff Machine Learning Engineer with a focus on Generative AI and Recommendations at Handshake. Responsible for advancing AI product and infrastructure vision to democratize opportunity for students on the platform. Will work on existing ML systems and drive marketplace metrics while developing AI-based products responsibly.
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.
Lead the development and innovation of motion planning systems using machine learning and optimization. Oversee algorithm development, integrate with perception and control systems, ensure robust and scalable software, and mentor junior team members for product-focused engineering.
As a Senior Machine Learning Engineer, you will design, develop, and deploy machine learning solutions to optimize routing, pricing, dispatch, and mapping. You'll collaborate with product managers and engineers to align ML applications with business needs and actively refine algorithms for operational efficiency.
Join Affirm as a Senior Machine Learning Engineer on the ML Underwriting team. Develop high-quality machine learning models to assess creditworthiness and contribute to shaping the financial landscape. Collaborate with cross-functional teams to define requirements for new products.
As a Machine Learning Engineer in the Ads Retrieval team at Reddit, you will be responsible for building ads retrieval and early ranking systems using advanced industrial level techniques. Your role will involve researching, formulating, and executing end-to-end ML solutions to deliver the right ad to the right user under the right context.
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.
Design equitable and competitive compensation programs. Base pay ranges from $165,500 to $265,800. Additional benefits such as bonuses, commissions, and equity may be provided.
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