Machine Learning Jobs in Seattle

Use machine learning & deep learning techniques to create new, scalable solutions for business problems. Develop NLP, NLU, NLG, NER, computer vision models and technologies for acquiring, parsing, interpreting and visualizing structured and unstructured data. Running regular benchmarking tests and perform statistical analysis, draw conclusions on the impact of your research-based optimizations to provide thought leadership to the team. Analyze and extract relevant information from large amounts data to help in automating the workflows and optimizing key processes.. Help the team in building large scale online learning system. Help the team to build research to production pipeline.

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.

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.

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. 

GCO's Data and Intelligence team is looking for a thoughtful and dedicated Software Development Engineer II with experiences and skillsets that demonstrate a capability for delivering high quality, customer-facing features that meet platform and product needs. Our team is building out learning and intelligence services that power Expedia Group's Virtual Agents to make an amazing impact on customer needs in an optimal manner without needing human intervention. With your passion, technical skills, and effective communication, you will implement and affect solutions that drive customer effort down and improve customer self-service at Expedia.

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.

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 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.

Investigate and develop algorithms and ML models for building simulated environments and components. Work on deployment of these models to our cloud services. Accelerate time to market for autonomous vehicles and robots.

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.

Develop the technical fraud and risk strategy for our team. Develop highly scalable classifiers and tools leveraging machine learning, data regression and rules based models. Analyze the latest attacker techniques and apply solutions to detect them holistically and stop them proactively. Work collaboratively with cross-functional teams (risk analysts, data science and operations) to design and implement new features. Drive engineering and operational excellence across Integrity team and OfferUp-wide Backend team. Collaborate with OfferUp wide engineering teams to surface common pain points, develop solutions and evangelize best practices.

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.

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 .

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.

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.

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, 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 role reports to our Head of Machine Learning.