Top Machine Learning Engineer Jobs in Seattle
The Machine Learning Engineer (Modeling) role at Cash App involves building machine learning models for various workstreams such as fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to improve customer experiences, enhance security, and provide accessible credit solutions.
Qualtrics is seeking a Machine Learning Engineer to enhance their ML and AI R&D strategy, personalize the user experience, and build competitive advantages through data. The role involves developing scalable microservices, implementing machine learning models, and collaborating with cross-functional teams to innovate and optimize existing features.
Join Dropbox as a Machine Learning Engineer to shape the future direction of the organization, build large-scale ML systems, personalize user experiences, and impact millions of users with innovative AI solutions.
Snap Inc is looking for a Machine Learning Engineer to create models driving value and prioritize duties with strong collaboration skills. The role requires 5+ years of experience in developing machine learning models for various purposes.
Snap Inc is seeking a Staff Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, building scalable products, and iterating quickly without compromising quality. Strong understanding of machine learning approaches, algorithms, and collaboration skills are required.
Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for challenges related to Perception and Object Tracking on urban roads. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, deep learning project experience, strong programming skills, and expertise in ML frameworks. Bonus points for a PhD in machine learning, computer vision, or robotics, and experience in deploying perception.
Senior/Staff Machine Learning Engineer at Rokt, responsible for designing, building, and productionizing machine learning models to solve business challenges. Collaborate with product managers and engineers, maintain code quality, research and prototype new models, and mentor team members.
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Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.
This Machine Learning Engineer role at Cash App involves building machine learning models for detecting fraudulent activity, creating better customer support experiences, and redefining credit and liquidity through simple and fair credit solutions. The role requires working with various algorithms, datasets, and technologies to improve customer safety, support automation, and underwriting processes.
This Machine Learning Engineer role at Cash App involves building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to understand customer behavior, enhance security measures, and improve financial services. The position requires working closely with product teams and leveraging data to create innovative solutions.
As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.
As a Staff Machine Learning Engineer in ML Foundations at Stripe, you will play a critical role in accelerating the Machine Learning journey. Responsibilities include developing and executing roadmaps, designing and scaling machine learning models, improving existing models, coaching engineering talent, and building cross-functional partnerships. Minimum requirements include 1 year of experience in machine learning.
Develop state-of-the-art algorithms and models to enhance customer support experiences through AI tools. Collaborate with teams to understand business needs and create impactful solutions. Monitor and evaluate model performance to make necessary adjustments.
Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
Join the Chewy Search & Recommendations team as a Principal Machine Learning Engineer/Data Scientist. Develop models to simplify product discovery for pet lovers on Chewy.com. Work on all stages of model development and impact millions of customers daily.
Develop and implement machine learning models for fraud detection, analyze large datasets to identify patterns related to fraudulent activities, collaborate with cross-functional teams, monitor model performance, stay updated on latest machine learning and fraud detection techniques, and prepare reports for stakeholders.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework, perform model training optimization, and develop an AutoML platform. Provide technical direction that influences the entire company.
Drive the technical roadmap of the Ad Ranking team, design and scale machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology, advocate best practices, and provide technical direction to the ML community.
As a Senior Machine Learning Engineer in Underwriting & Credit at Cash App, you will design, build, and launch credit products and features. You'll work on distributed services, solve technical problems at scale, collaborate with cross-functional teams, and contribute to the growth of development capabilities.
As a Machine Learning Engineer, you will be responsible for analyzing opportunities, training & evaluating ML models, running experiments, and deploying to production. You will contribute to ML architecture and be part of a larger community.
Looking for a Senior Machine Learning Engineer with expertise in attribution space to expand Square's measurement system by building data science and machine learning solutions. Responsibilities include working with stakeholders, partnering with third-party data providers, and staying updated on ML trends.
Senior Machine Learning Engineer specializing in data-driven attribution to fuel Square's growth. Responsible for building machine learning solutions for the next generation attribution system, collaborating with stakeholders, and staying updated on advancements in ML and data science.
Seeking a Senior Machine Learning Engineer with expertise in data-driven attribution to join the Measurement Machine Learning teams at Square. Responsibilities include building ML solutions, partnering with stakeholders for growth strategy, and staying updated on industry trends.
Design and build platforms and services for machine learning systems to improve transaction efficiency on Stripe. Collaborate with various teams to deliver impactful product values to customers. Mentor junior engineers in their technical growth.
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