Top Machine Learning Engineer Jobs in San Francisco, CA

Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong collaboration, mentorship, and problem-solving skills are required. Minimum qualifications include a Bachelor's degree in a technical field and 3+ years of machine learning experience in the industry.

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.

As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting model evaluations, and applying AI/ML to improve Atlassian products.

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.

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

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.

Design, implement, and scale critical machine learning models to support Snap's monetization strategies. Collaborate with cross-functional teams to set and align on machine learning strategies. Stay up-to-date with the latest technology in machine learning and apply knowledge to tackle complex problems. Collaborate with leadership to up-level the ML tech stack and improve organization performance. Advocate for best practices in availability, scalability, operational excellence, and cost management. Provide technical direction that influences the ML community.

Responsible for training and tuning machine learning models, performing model evaluations, and working on data collection and feature engineering. Collaborating with a team of AI engineers to design and maintain large-scale AI/ML pipelines. Building evaluation frameworks and metrics for Deep Learning and transformer-based models.

Build, optimize, and deploy machine learning models for identity resolution and ads attribution. Collaborate with cross-functional teams and stay up-to-date with the latest technology. Strong understanding of machine learning approaches and algorithms.

Building large-scale ML systems to connect people on Roblox, focusing on social graph embeddings and systems. Driving company objectives for friending growth and user retention. Collaborating with product and design teams to push boundaries.

Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams to align on machine learning strategies, and provide technical direction to influence the ML community.

Drive the technical roadmap of the Ad Ranking team, design and implement machine learning models, collaborate with cross-functional teams, stay updated with latest ML technology, advocate for best practices, and provide technical direction.

Design, implement, and scale critical machine learning components and services, build a next-generation training framework, develop an AutoML platform, work across teams to deliver innovative products, advocate for best practices, provide technical direction.

Develop and train machine learning algorithms to identify and prioritize high-value inventories for Real-Time Bidding buyers, experiment with optimization strategies, collaborate with engineering teams on data pipeline, participate in fostering an engineering excellence culture.

Senior AI Engineer responsible for training, tuning, and evaluating AI/ML models including Deep Learning and Large Language Models. Design and implement large-scale AI/ML pipelines and evaluation frameworks. Proficiency in Python and machine learning frameworks like SKLearn, PyTorch, and Tensorflow required.

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.