Machine Learning Jobs in Seattle

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.

Due to ongoing growth, we’re hiring an Applied Machine Learning Engineer to join the team that’s finding, implementing, and testing algorithms in the Algorithmia platform. You’ll join a team of highly focused engineers developing for a platform that supports over 80k engineers and processes millions of AI/ML workloads. Our team has worked on building billion dollar products at Amazon, Danger, Microsoft, Socrata, and Paypal. We offer our engineers an unparalleled opportunity to learn, grow, and impact an enormous user community.

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.

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.

• Design and implement a framework for running machine learning models • Build common frameworks which can be used by other teams. • Design, develop, test, deploy, maintain and improve software.

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.

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. 

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 the head of a quickly growing team, you're an exceptional leader in data science who identifies critical investment areas and influences senior leadership of these strategic directions. You understand the balance between R&D and hands-on product work - you know how to achieve business objectives while developing internal capabilities within the organization. Highly collaborative, you’ve scaled a data science team to meaningful enterprise impact before while boosting the data driven culture of the organization. You want to be empowered to help our customer move the world with images leveraging data 

This role will work on our Analytics team and with ExtraHop’s Atlas service, which monitors over 600,000 devices that process over 2.7 petabytes a day. The Analytics team will drive projects to increase value of our real-time application performance metrics. This team will partner with the Product and Operations teams to identify actionable insights into network issues, application performance, and business analytics. We’re looking for passionate engineers that want to build the next-generation analytics feature at ExtraHop.

We are currently seeking a talented Digital Architect for our Digital Transformation practice . Are you someone with significant business and technology transformation experience . Are you passionate about being a leader, be it with your depth and knowledge on digital technology and platforms, or your strength as in project delivery. We’re looking for someone who can bring that leadership into this growing team and help shape its direction, and also help us celebrate the victories as the team grows.

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.

Use statistical and machine learning techniques to develop scalable solutions to detect fraud and help build Sift’s Trust Platform. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Work alongside software engineers and data engineers to implement prototypes and production code. Direct and oversee long term research projects, along with short-term production-driven model iterations. Act as the point of contact and machine learning leader for the business. Represent Sift’s machine learning efforts inside and outside the company. Provide an expert perspective and help shape Sift’s ML related strategy and initiatives.

We are looking for an experienced Machine Learning 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 Machine Learning Engineer with our team, you will help identify the obstacles and potential applications of leveraging ML technology to expedite, ease, and empower the process of Unity...

As a software engineer, you will develop applications and services to propel the quality of the healthcare experience for 98point6 patients and doctors. You will collaborate in shaping our machine learning platform and drive awareness of data requirements, evaluation processes and implementation best practices, supporting large volumes of traffic with high availability and low latency.

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.

Engineering new features into our existing pricing and relevance models. Exploring new pricing models to better predict the future. Building out our machine learning infrastructure. Training new automated agents to streamline operational processes. Developing new bidding/auction models to bid on shipments. Designing our experimentation framework.

We are looking for a Lead Data Scientist to help guide research and discover new technology to help us deliver even greater levels of value to our customers. The ideal candidate will bring experienced analytical rigor, deep understanding of statistical methods, and experience with machine learning to help our R&D team continue to succeed.

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 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.