Top Remote Machine Learning Engineer Jobs in San Francisco Bay Area

As an Applied Machine Learning engineer at Atlassian, you will work on developing and implementing cutting-edge machine learning algorithms, training models, and collaborating with various teams to integrate AI functionalities into Atlassian products. Responsibilities also include designing system architectures, conducting experiments, and applying AI/ML to enhance product features.

Senior ML Engineer role at Grammarly's On-Device ML team, responsible for proposing, designing, and implementing strategic features using machine learning models in an on-device context. Collaborate with core product teams, launch and monitor ML models, and leverage academic research to advance technology.

As a Machine Learning Engineer on the Embeddings team at Liftoff, you will have end-to-end ownership of ML models, adopt or build new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence the roadmap for your team.

Design, build, and enhance batch inference services and tools using Generative AI and Machine Learning to detect and prevent illegal and suspicious activity on a financial platform. Lead infrastructure development, collaborate with cross-functional teams, and drive strategic roadmaps.

As a Machine Learning Engineer for the Creative ML team at Liftoff, you will own and develop ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requirements include 8+ years of ML experience, deep neural network experience, strong engineering skills, and a degree in Machine Learning, Math, Physics, or similar field. Experience with Adtech is a plus.

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.

Looking for a Principal Machine Learning Engineer to shape the ML agenda for new initiatives at Dropbox, develop high-impact ML solutions, and work on a variety of ML techniques across different platforms. Responsibilities include collaborating with ML experts, building products, and shaping the direction of ML at Dropbox.

Drive the development and implementation of cutting edge machine learning algorithms to build transformative developer AI products and services. Design system and model architectures, conduct rigorous experimentation, and provide guidance to emerging ML engineers.

Develop and train machine learning algorithms to identify and prioritize high-value inventories for Real-Time Bidding buyers. Enhance machine learning infrastructure for scalability and efficiency. Design experiments to test optimization strategies and analyze results. Collaborate with engineering teams on data pipeline.

Develop and maintain knowledge of real-time and snapshotted data sources, collaborate with Data Scientists on machine learning models, support ML data preparation and scoring, and optimize predictions and recommendations for the Enterprise Data Platform.

Senior Machine Learning Engineer role at Instacart focusing on utilizing machine learning to address critical issues in marketplace systems such as routing optimization, pricing, dispatch, and mapping. Responsible for designing, developing, and deploying ML solutions in collaboration with cross-functional teams to meet business goals.

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 Machine Learning Engineer at Pinterest, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner with teams across the company to experiment and improve ML models for various product surfaces and work in a high-impact environment with quick experimentation and product launches.

As a Senior Machine Learning engineer, you will work on the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams to build transformative developer AI products and services. Responsibilities include designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers.

Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead multi-person projects, ensure high code quality, collaborate with cross-functional teams, and contribute to development capabilities through mentoring.

Design ML pipelines and services, prototype new approaches, and productionize solutions at scale for a large user base. Create a platform for training and maintaining ML models, apply best practices, and shape the ML strategy for the company.

Develop scalable AI platform, improve internal productivity, collaborate with diverse teams, lead AI innovation, drive alignment with company's AI strategy