Machine Learning Jobs in Seattle

  Are you ready to lead dynamic data science and analyst teams to rapidly improve a massive online business? Ready for one of the best tech opportunities in Seattle?   Groupon’s mission is to become the daily habit in local commerce and fulfill our purpose of building strong communities through thriving small businesses by connecting people to a vibrant, global marketplace for local services, experiences, and goods. In the process, we’re

Research, build, and deploy Machine Learning models to cloud infrastructure. Collaborate with other engineers, data scientists, and partner teams on product and service features and functionality.

Join our team as a data scientist and you will help leading consumer brands use data and technology to discover insights, improve decision-making and transform their businesses. Experience ‍M.S. or PhD in Engineering, Mathematics, Computer Science, or other technical field. Strong knowledge of one relevant/appropriate programming languages like R, Python or Java and C#. 3–5 years of related work experience (data science, business intelligence

Experience with at least two production ML applications. MS in computer science, math or statistics. Hands-on experience building production models with TensorFlow PyTorch, or scikit-learn. Strong engineering background with a good foundation in algorithms and software design. Experience with Cloud deployments (AWS or GCP).

We are looking for an exceptional distributed computing engineer to make a profound impact on how real-time simulations will be used to power a new generation of applications. Today, we’ve built the industry’s leading gaming and simulation engine that runs on billions of devices. We are moving forward on creating a whole new line of products and services centered around running massively...

We are looking for an experienced Graphics Engineer to join our Machine Learning Graphics team, where they’ll have an immediate and significant impact on the team’s projects and direction. As a Graphics Engineer with our Machine Learning Graphics team, you will help negotiate the obstacles and potential applications of leveraging ML technology to expedite, ease, and empower the process of creating Unity content, and provide a lens of Graphics Engineering expertise to the team.

The Role: At Versive, we want to cut through the hype and overblown claims surrounding AI and ML and help our customers successfully tackle their biggest challenges. We built our own proprietary machine learning platform on top of open-source distributed computing technologies such as Apache Spark to provide automated and explainable artificial intelligence-driven solutions to our customers. As a Machine Learning Scientist, you will continue to

A Search Algorithm engineering expert. This position is responsible for designing and developing software applications. Testing and debugging new and existing software as well as performance tuning and optimization of existing code. Operates with considerable latitude and recommends major changes. May supervise activities of others.

OfferUp is looking for a Sr. Data Scientist to join our team, the right candidate will have a passion for manipulating and using new and existing data sources to help drive actionable recommendations. We seek to delight our users with the safest, simplest and most effective local marketplace app on the planet. Your role as a Data Scientist will be to research, design, implement and evaluate machine learning models and algorithms to make our products more intelligent.

As a Data Engineer, you will be responsible for building and maintaining the infrastructure for big data and AI lifecycle. You will also be responsible for maintaining the algorithms developed by our data scientists and using a myriad of tools for production readiness of AI models. You will be working on a cross-functional team of Product Managers, devops engineers, machine learning engineers, and software engineers for high impact shipping. Being a part of hypergrowth startup, you are not afraid of getting your hands dirty and are expected to be a jack of all trades for all steps in the ML lifecycle right from tagging, featurization, training and benchmarking to experimentation, monitoring and analytics.

Design, code and maintain massive data gathering, processing and delivery systems. Discover, analyze and validate new data sets to add value for our customers. Solve necessarily complex distributed systems problems as simply as possible. Research and employ cutting edge techniques to move well beyond internet scale data. Architect and build data delivery solutions in a microservice environment. Provide code reviews and design feedback for teammates. Work with both realtime and offline data processing pipelines to get the best data available to our customers as soon as possible. As a senior member on the team, you will also mentor more junior engineers on the team.

Infrastructure - Infrastructure is the backbone of everything we do at Sift. Examples of projects include finding and removing performance bottlenecks, scaling databases, building a framework for feature extraction, and server architecture and administration. Machine learning - We fight fraud with machine learning and our approach is unique. We train our models on millions of transactions across hundreds of customer sites, with countless features extracted from each. Applications - The best infrastructure and machine learning techniques are meaningless without applications that put them to good use. Our API platform enables our customers to get value from Sift Science within minutes of signing up, and our front-end Console product summarizes our predictions in ways that are instantly actionable.

Pivotal is seeking a Data Scientist - AI and ML to drive fast-paced research and development projects while working closely with a small group of scientists, engineers and business leaders in a start-up environment. The candidate will be responsible for applying both analytic, numerical, ML and AI methods to improve antenna performance, optimize KPIs and enhance communication system efficiency.   

Apply machine learning and mathematical approaches to solving IT operations management. Develop or enhance prototypes and acceptance tests for solutions to IT analytics problems like: Alert correlation. Complex event processing. Anomaly detection. NLP on IT incidents. Causal analysis and prediction. Automation of IT remediations and processes. Work with product managers and engineers to develop solutions to customer problems. Design and perform experiments to analyze/validate solutions to analytics problems.

We are looking for talented Software Engineers (High Performance Computing and Database Engineers) to join the Machine Learning & Artificial Intelligence (ML/AI) team. You are passionate about cloud processing techniques and big data. You are excited about the challenges associated with processing petabytes of time-series imagery and building novel software solutions for deploying ML/AI models. You are intrigued about working with Data Scientists and Cloud Engineers to build unprecedented processing pipelines for cutting edge computer vision techniques. 

1. Multivariate modeling: the creation of models that lead to better search outcomes, providing better matches between pet sitters and owners. Here, success is measured in terms of impact on marketplace efficiency. 2. Machine learning: the ongoing development of the machine learning infrastructure that enables continuous learning from our data, where success is measured both in terms of marketplace efficiency gains as well as the rate at which different aspects of the user experience are incorporated into our ML systems. 3. Scaling user testing: the parallelization and democratization of end-user testing across all areas of the product and user experience, where success is measured in terms of testing velocity across the organization.

Focus on the development of cloud computing infrastructure at Qualtrics, and help build, distribute, scale and optimize these technologies. Develop scalable, robust, and highly available micro services related to our platform. Implement new features and optimize existing ones to drive maximum performance. Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers. Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers.

We’re looking for a hands-on Engineering Manager to lead and grow Pinterest’s Content Modeling team which heavily relies on Deep Learning and Machine Learning with a very large scale. Pinterest’s text/user embedding highly relies on the Content team and we're working to provide customized experience for Ads, Homefeed, Search, and Shopping. This is an opportunity to build and improve user experience for over 250M+ users worldwide across billions of pieces of unique content.

Today, there is a chronic and pervasive customer data problem -- one that’s preventing some of the world’s most loved brands from understanding and engaging their customers through meaningful and captivating customer experiences. Amperity has invented a way to solve this problem with the horsepower of a distributed data infrastructure and the intelligence of best-in-class machine learning algorithms and techniques. Amperity frees, connects, and

As an engineer on the Data Science Infrastructure team, you will design and build infrastructure and tooling to make it fast, easy, and cost effective to perform machine learning experimentation and data analysis. Ensuring data and batch processing pipeline availability, stability, and access at production scale is critical to our mission.