Machine Learning Jobs in Seattle

We are looking for an outstanding and experienced economist or scientist to drive our R&D in causal inference, experimentation, and econometric analysis. We are looking for a creative thinker who can combine a strong economic toolbox, proficiency in modern tools for data science, with a desire to learn from others, and who knows how to execute and deliver on big ideas. As a Principal Economist, you are encouraged and expected to help Outreach establish thought leadership in the field of Science of Sales. We encourage publications and we are actively building collaboration and partnerships with academic communities.

We are looking for an exceptional Machine Learning Engineer to join our global ML team to work on data products that underpin our business. Our ML team currently builds systems that set our FX rates for customers, detect bad actors using our product, and forecast volume to inform our currency trading strategy. This role will focus on the Pricing space where you will develop models that are used to price tens of millions of dollars worth of volume in real time every day. 

We are looking for talented Data Scientists to join the Data Science & Machine Learning team. You are a talented data scientist that is tired of applying basic statistical tools to yet another set of KPI's. You are passionate about deriving creative solutions from imagery using cutting edge computer vision techniques and big data pipelines in the cloud. You are excited about the analytical potential and challenges associated with processing petabytes of time-series imagery. You are intrigued by being a part of a collaborative team, spearheading machine learning applications for realizing industry-disrupting and innovative products.

Build and improve the machine learning models for ads targeting. Develop new techniques for inferring user interests from online activity. Build an ad targeting system to find the most relevant users for ads through interest, keyword and audience targeting. Work on large scale data systems, backend services, and product integration .

Modeling and forecasting demand and supply to enable more intelligent matching, optimize the overall marketplace efficiency and provide valuable insights to our merchants and Postmates. Large scale Machine Learning algorithms and infrastructure that powers our Search Ranking models and Personalized Recommendation Engine. Predicting the Postmate Delivery Time (PDT) and improving the efficiency (batching, chaining, etc) and reliability of the dispatching algorithm. Determining the optimal pricing strategies to help our Postmates maximize their revenue. Identifying suspicious transactions and malicious users for risk control. Natural Language Processing to understand text content on Postmates platform, including named entity resolution and recognization of reviews, descriptions and interactions between users on our marketplace.

Key goal of the Data Science team is to transform how sales reps operate by enabling personalized guided selling. This requires a scalable cost-efficient data and ML infrastructure. As a member of the team, you will be on the ground floor, working directly with the VP of Data Science to define and implement our strategy for delivering on this vision. You will be responsible for improving and scaling our data, ML, and experimentation infrastructure, delivering models and data-driven functionality, automating ML pipelines. You will serve as tech lead owning the outcomes of projects and initiatives, working with junior team members, collaborating with other engineering teams, and providing technical guidance.

Leverage DefinedCrowd’s platform APIs, tools, and workflows to implement end-to-end solutions for collecting and annotating crowdsourced data for machine learning; Develop and maintain custom scripts, SQL queries, and tools to help monitor projects, manage data flow, and generally extend the capabilities of the platform as needed; Develop scripts for data ingestion, pre-processing, post-processing, and deliverable creation; Research and develop reusable/extensible tools to make the Project Execution team more efficient; Research and implement data collection methodologies (e.g. webcrawling); Coordinate with our Product and Engineering teams to integrate your custom tools and processes into our platform; Facilitate a collaborative environment aligned with company objectives;

We are looking for an Applied Scientist specializing in artificial intelligence, machine learning, and computer vision to join a new AI/ML Team. In this role, you’ll research, build, and deploy new models that understand Getty’s imagery to improve our customer’s search experience, be it for personalization, diversifying search results, enabling customer exploration and discovery, or image manipulation.  

We are looking for a Data Scientist with expertise in ranking algorithms (search, recommendations, and/or newsfeeds) to join a new AI/ML Team to research, experiment, and introduce new machine learned ranking models to Getty’s search experience, be it for personalization, diversifying search results, or enabling customer exploration and discovery. You will have a direct impact on the Search and Browse paths for millions of customers and drive conversions for millions of products on the way.