Top Remote Senior Machine Learning Engineer Jobs in San Francisco Bay Area

The Staff Machine Learning Engineer at Cash App's Financial Crimes Technology team will work on leveraging Generative AI and Machine Learning to detect and report illegal and suspicious activity on Cash App. Responsibilities include deploying AI copilot solutions, building classification models, and working with diverse data sets to improve agent productivity and eliminate manual decision loops.

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.

Lead Machine Learning Engineer role at Grammarly, responsible for building scalable ML solutions for marketing problems, driving business impact, and collaborating with cross-functional teams.

As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, stay updated on latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, deep neural network expertise, strong coding skills, and a degree in Machine Learning, Math, Physics or similar.

Grammarly is looking for a Machine Learning Engineer to join their Marketing Technology team. The engineer will shape marketing strategies, enhance customer experiences, and optimize marketing campaigns by leveraging data and advanced algorithms. They will directly impact the top-line KPIs for the Growth team and work collaboratively with various teams within the organization.

Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products.

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.

Lead Principal Machine Learning Software Engineer role at Atlassian's Central AI team, responsible for developing AI infrastructure, data pipeline, frameworks, and models. Works closely with product, backend/frontend engineering, and analytics teams to integrate AI functionalities into Atlassian products. Requires expertise in Python or Java, knowledge of SQL, Spark, and cloud data environments. Strong quantitative background with a master's or PhD in Statistics, Mathematics, Computer Science, or relevant work experience.

Develop advanced Machine Learning models to optimize loan offers on partner websites. Collaborate with cross-functional teams, utilize state-of-the-art techniques, and mentor junior team members. Lead research, implementation, and continuous innovation in machine learning.

Machine Learning Engineer at Dropbox responsible for designing, coding, training, testing, deploying large-scale ML systems and shaping the direction of ML and AI at Dropbox. Requires BS or MS in Computer Science, 3+ years of ML/AI systems experience, strong analytical skills, and proficiency in Python, C/C++. Desired qualifications include a PhD in Computer Science and expertise in NLP, deep learning, and other ML areas.

Join Liftoff as a Staff Machine Learning Engineer on the Bidding Policy team to build state-of-the-art ML models for accurate bidding decisions in millions of auctions per second. Work with a team of experienced ML and Software Engineers, take end-to-end ownership of system design and implementation, and stay updated on the latest ML research for practical ideas.

The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.

As a Senior Machine Learning Engineer in the Ads Targeting core team at Reddit, responsible for executing the mission to automate targeting and deliver relevant audiences to advertisers using data and ML-driven solutions. Responsibilities include owning ML-based targeting products, driving technical roadmaps, and collaborating with stakeholders.

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.

Reddit is seeking a Senior Machine Learning Engineer, Core Relevance to enhance the home feed recommendation system and improve content discovery algorithms. The role involves building and productionizing machine learning models at scale and collaborating with cross-functional teams. Responsibilities include mentoring junior engineers and working with large-scale data and models.