Machine Learning Jobs in Seattle

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.

As a Data Scientist within GCO, you will work with diverse teams of Subject Matter Experts, Product managers, engineers and others across multiple organizations to deliver Data Science solutions and recommendations. You will utilize ML, advanced analytical and statistical techniques in order to build statistical models which will be used to answer business questions, provide recommendations, understand drivers, prove or disprove hypotheses, and drive initiatives for GCO and eCP.

As Axon’s VP of Artificial Intelligence, you will report directly to the Chief Product Officer & EVP Software and be responsible for leading a range of applied science initiatives across Computer Vision (CV), Natural Language Understanding (NLU), and other domains to harness Axon’s vast and growing network of sensors, signals, and data to provide measurably differentiated outcomes for our public safety customers and the communities they serve.

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.

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.

The candidate will be responsible for major areas of search quality for 250 million monthly active Pinterest users. Some potential areas of impact include search quality in languages other than English, query understanding, core relevance, visual relevance, search quality evaluation, and others. Deeply understand the Pinterest search product and drive the vision for the search quality team. Provide visibility for senior leadership into the team’s global impact. Partner with stakeholders to expand impact across the company. Mentor and grow engineers on the team. Build a culture of excellence and expertise.

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.

We are looking for our next Senior Software Development Engineer - Machine Learning (Senior SDE) to play a lead role in developing machine learning-powered assistive features inside Smartsheet. Our team is building features to accelerate and augment the way Smartsheet users collaborate on work. We are looking for an engineer to play a lead role in analyzing our data, cleaning our data, iterating on models, and working with a dedicated team to operationalize and monitor these models. With thousands of subscribing organizations and millions of users, there are lots of opportunities to make a meaningful impact and drive growth through machine learning within Smartsheet. The ideal candidate has built machine learning-based features at a SaaS company in a high paced environment and has strong software development and data science experience.

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.

We are looking for experienced Research Scientists to join the Matching Team in Convoy’s Marketplace organization. The Matching Team owns Convoy’s core algorithms and optimization routines driving efficiencies in our marketplace, including automated reloads and in-app brokerage. This role has the potential to unlock significant value for the company as we double-down on the fundamental algorithms at the heart of our business.

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’re looking for a Software Engineer to join our Perception team at Snap Inc! Working from our New York City, NY or Seattle, WA office, you’ll work on productionizing machine learning and computer vision, solving problems that range from architecting scalable infrastructure to building exciting products that leverage this technology.

As the Principal Software Engineer, Data Platform, you will function as a “hands-on” engineer and technical-thought leader to guide the building of tools to organize, analyze, and visualize data in a semantically agnostic manner for analysts, M/L engineers, and product teams.

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 .

OfferUp is looking for a Principal Data Scientist to join our team. 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 help OfferUp use the most cutting edge technology to maintain its market lead in customer trust and product enthusiasm. OfferUp is a startup. Applicants are expected to understand the business and contribute their ideas and manage many of their own data extractions and data transforms.

Data is core to our business. Data improves our models that are used every day to grow our business. Ultimately, data drives our mission, and our mission at Loftium is to provide affordable housing to families. We're looking for a talented, and experienced, Data engineer to help us scale. As an early hire, and the first SDE focusing on data pipelines, you will have an opportunity to set best standards and practices, architect solutions, and contribute to the culture of the organization. This role reports to our Head of Machine Learning.

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.

Machine learning is core to our business. Every day our models are used to find the right city, the right house, and the right renter to grow our business. We're looking for a talented, experienced Machine Learning 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 role reports to our Head of Machine Learning.