Machine Learning Jobs in Seattle

​​​​​About the role Machine learning is core to our business, driving everything from our long-term and short-term rental income prediction algorithms to our revenue optimization algorithms and our properties acquisition pipeline. We're looking for a talented, experienced ML engineer to help us scale quickly, smartly and nimbly. This role offers a unique opportunity to join an amazing team and grow your career as quickly as Loftium scales.This

We are looking for an exceptional Engineering Manager for our Machine Learning Team to unlock the full potential of our data and leverage the power of machine learning to make a difference in the organization. The Data Team at Remitly is a fast paced environment where you will work on high-impact exciting projects to enhance our customer experience, marketing efficiency, and operational excellence. 

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.

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 

Adswerve is looking for an aspiring Data Engineer to join the Technical Services Team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client-facing consultative communication skills. They will be naturally curious about data purity, big data analysis, machine learning, and product development, and have demonstrated strengths in data engineering. Responsibilities Typically

Adswerve is looking for an aspiring Data Scientist to join the Technical Services team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client-facing consultative communication skills. They will be naturally curious about data purity, big data analysis, machine learning, and product development, and have demonstrated strengths in data science and data engineering. Responsibiliti

The Business Intelligence and Data Science team provides access to clean data, drives decision making using simple and advanced analytical techniques, and builds data products. This team partners with product and engineering to enable real-time decisions including forecasting, resource optimization, tutoring efficacy, and supply health.  We are looking for a proven leader with experience building teams, guiding the application of data science

Apply the latest research in machine learning and computer vision to develop innovative technology to power Snapchat products. Work closely with software engineers to bring prototypes to production.

Amperity is a rapidly growing technology company led by repeat entrepreneurs and seasoned business leaders and technologists. Our expertise in large-scale data management, enterprise software, and machine learning has empowered us to innovate and build a paradigm-shifting solution to one of consumer brands’ most fundamental challenges today. Every brand is striving to have a more personal relationship with their customers, but the data they

We’re particularly focused on using ML to understand visual content, which improves our recommendations, enables services such as visual search and similarities, and even powers tools that generate graphical content, like terrain, lighting, and textures. All of our work empowers our customers to make amazing visual content and experiences using Unity. The team is located onsite at the Unity office in Bellevue. Exceptional candidates desiring remote work from our San Francisco office will also be considered.

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.

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.

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.

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).

As the leader of this team you will hire, develop, mentor, and coach both Research Scientists and ML Engineers to ideate and implement new platform features leveraging state-of-the-art techniques in natural language understanding, image classification, statistical modeling, and other forms of ML and AI technology. You will balance important long term R&D investments with short term product deliverables, and partner with PM and company leadership to ensure alignment against strategic and tactical goals.

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...

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.

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.

Design and develop data processing infrastructure and reporting pipelines. Collaborate with the data-science team to productionize ML pipelines. Coordinate data models with other engineering teams. Work with the DevOps team to increase our monitoring and alerting coverage as needed. Identify scale bottlenecks and successfully overcome them. Contribute to technical specification documents for data architecture projects. Contribute to ongoing maintenance of existing infrastructure and investigate issues and failures.

Innovate and build new attack detection and analytic capabilities using machine learning in the ExtraHop platform. Work with software engineers and own the end-to-end development of machine learning features and capabilities (from ideation to prototyping to experimentation to productionization to continuous refinement in operation). Work with appliance (sensor) engineers to identify new model features. Work with appliance (frontend) engineers to surface and incorporate ML findings and analysis into user workflows. Work with threat researchers to become an expert in the specific attack scenarios and encode domain expertise into algorithms and models.