Sr. Machine Learning Engineer, Monetization Engineering Pinterest, Inc.Sr. Machine Learning Engineer, Monetization EngineeringSeattle, WAFull time2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas.
Machine Learning Engineer, Monetization Engineering Pinterest, Inc.Machine Learning Engineer, Monetization EngineeringSeattle, WAFull time2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas.
Sr. Machine Learning Engineer, Core Engineering Pinterest, Inc.Sr. Machine Learning Engineer, Core EngineeringSeattle, WARemoteFull time4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love.
Sr. Machine Learning Engineer PitchBook DataSr. Machine Learning EngineerSeattle, WA$170,000–$240,000 / yearFull timeAs a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
Machine Learning Engineer Robinhood Markets, Inc.Machine Learning EngineerBellevue, WA$161,138–$200,000 / yearFull time
Machine Learning Engineer FlightSafety International IncMachine Learning EngineerSeattle, WAFull timeUsing Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). You will bridge the gap between core AI research and production-grade engineering, developing scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization.
Principal Machine Learning Engineer, Ads Delivery Pinterest, Inc.Principal Machine Learning Engineer, Ads DeliverySeattle, WAFull timeYou will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.
Staff Machine Learning Engineer, Conversion Visibility Pinterest, Inc.Staff Machine Learning Engineer, Conversion VisibilitySeattle, WAFull timeLead the design and implementation of identity and conversion signal models (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces. Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders.
Staff Machine Learning Engineer, Ads Measurement Products Pinterest, Inc.Staff Machine Learning Engineer, Ads Measurement ProductsSeattle, WAFull timeProven Staff-level technical leadership as a hands-on IC, including setting technical direction, driving multi-quarter roadmaps, and aligning senior stakeholders across Product, Engineering, Data Science, Infra, and partner teams. Lead the design, implementation, and productionization of ML-powered components for ads measurement products, including areas such as measurement methodologies, diagnostics, anomaly detection, automated insight generation, and advertiser decision-support.
Principal Machine Learning Engineer- Search Quality Snowflake Inc.Principal Machine Learning Engineer- Search QualityClyde Hill, WA$264,000–$379,500 / yearFull timeSearch Domain Expertise: Deep, hands-on experience with search technologies (e.g., Lucene/Elasticsearch/OpenSearch, vector databases) and a proven track record of improving search relevance and ranking at scale. The Snowscope team is at the heart of this mission, building and maintaining the internal search system that powers discovery across diverse corpuses, including the Catalog, Marketplace, Documentation, Workspaces, Notebooks, and more.
Staff Machine Learning Engineer - Cortex Code Quality Snowflake Inc.Staff Machine Learning Engineer - Cortex Code QualityBellevue, WA$236,000–$339,200 / yearFull timeAs a Staff MLE/AI Engineer on Cortex Code Quality, you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting edge agentic systems that are efficient,repeatable, auditable, and shippable. Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and iteration on prompts/tools/workflows with clear before/after signals.
NewApplied Scientist, Prime Video - Title Lifecycle Presentation Amazon.com Services LLCApplied Scientist, Prime Video - Title Lifecycle PresentationSeattle, WAPrime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
NewSenior AI Architect WeyerhaeuserSenior AI ArchitectSeattle, WA$135,500–$203,300p style="background-color:rgb( 255 , 255 , 255 );color:rgb( 51 , 51 , 51 )">Attention Internal Applicants:To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures.
Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence JPMorgan Chase & CoMachine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of ExcellenceWAThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning JPMorgan ChaseMachine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine LearningSeattle, WA$164,350–$260,000 / yearThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence JPMorgan Chase & CoMachine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of ExcellenceWAThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges.
Sr Engineer, Machine Learning Engineering T-Mobile USA, IncSr Engineer, Machine Learning EngineeringBellevue, WAFull timeCollaborating with cross-functional technical teams, they ensure the seamless integration of LLM-powered solutions into products and workflows, reinforcing the organization's leadership in applying advanced AI technologies. The Senior Engineer, Machine Learning plays a pivotal role in advancing AI capabilities, focusing on the design, development, and deployment of large language models (LLMs) and generative AI solutions.
PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Syst Pinterest, Inc.PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender SystSeattle, WAInternFull timeYou'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.
Master's Fall Machine Learning Internship (ATG - Visual Search) Pinterest, Inc.Master's Fall Machine Learning Internship (ATG - Visual Search)Seattle, WAInternFull timeYou'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.
Engineering Manager, Machine Learning Operations PitchBook DataEngineering Manager, Machine Learning OperationsSeattle, WA$240,000–$300,000 / yearFull timeExperience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow. Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives.
Senior Machine Learning Engineer FlightSafety International IncSenior Machine Learning EngineerSeattle, WAFull timeWe are building a self-healing ecosystem where Multi-Agent Systems and Reinforcement Learning (RL) loops work in tandem with Large Language Models (LLMs) to not only detect incidents in real-time but to troubleshoot and resolve them autonomously. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence JPMorgan Chase Bank, N.A.Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of ExcellenceSeattle, WAFull timeThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Remote Senior Applied Machine Learning Engineer - Applied Machine Learning Team Rocket Companies IncRemote Senior Applied Machine Learning Engineer - Applied Machine Learning TeamSeattle, WARemoteAs a Senior Machine Learning Engineer for the Applied Machine Learning Team, you'll breathe life into our research by transforming prototypes into high-performance production systems, building the automated MLOps pipelines and real-time optimizations that keep our models running at scale. We have real estate data at a national level and work across various domains in machine learning using large-scale multi-modal property data (documents, images, text, video, 3D scans etc.).
Senior Machine Learning Engineer/Machine Learning Engineer III Workday IncSenior Machine Learning Engineer/Machine Learning Engineer IIISeattle, WA$180,200–$270,200 / yearul>7+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation. 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation.
PhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender Systems Pinterest IncPhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender SystemsWAYou'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.
Master''s Fall Machine Learning Internship ATG - Visual Search Pinterest IncMaster''s Fall Machine Learning Internship ATG - Visual SearchSeattle, WAAbility to legally work full time (40 hours/week) from September-December 2026 Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow) Proficiency with AI-native engineering, including the design of agent-friendly codebases. Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Write clean, efficient, and sustainable code Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: This role will be on our Visual Search team.
Senior Staff Machine Learning Engineer, Consumer DoorDash IncSenior Staff Machine Learning Engineer, ConsumerSeattle, WA$242,800–$357,000 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road.
Machine Learning Scientist III Expedia Group IncMachine Learning Scientist IIISeattle, WA$137,500–$192,500 / yearWe are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive an ecosystem that anticipates traveler needs, personalizes dynamic add-ons and upsells, and improves service experiences, making travel more seamless for millions of customers and partners worldwide. Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.
Staff Machine Learning Engineer ChewyStaff Machine Learning EngineerBellevue, Washingtonli>Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions. An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for at least 3 years designing optimization and machine learning solutions for large scale applications.
Machine Learning Engineer PitchBook Data IncMachine Learning Engineerseattle, WA$125,000–$180,000 / yearAs a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
Sr. Machine Learning Engineer PitchBook Data IncSr. Machine Learning EngineerSeattle, WA$170,000–$240,000 / yearp>As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
Machine Learning Engineer II Qualtrics International Inc (Inactive)Machine Learning Engineer IISeattle, WA$167,500–$220,000 / yearli>2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch. At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love.
NewStaff Machine Learning Engineer, Foundation - Seattle Qualtrics International Inc (Inactive)Staff Machine Learning Engineer, Foundation - SeattleSeattle, WA$208,000–$298,500 / yearli>Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and monitoring AI models in production settings while maintaining compliance with the best practices in machine learning and deep learning. At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love.
AIML - Machine Learning Engineer, Visual Intelligence Technology AppleAIML - Machine Learning Engineer, Visual Intelligence TechnologySeattle, WAMinimum Qualifications** + MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field + 7+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining + 5+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs + Experience being a tech lead, and has been successfully leading a team to ship software to users + Excellent knowledge and good practical skills in designing ML platforms, architectures or algorithms + Strong interpersonal skills able to work independently as well as in a team **Preferred Qualifications** + Has iOS / MacOS development experience + Experience with optimizing performance on resource constrained devices + Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.
AI Staff Machine Learning Engineer, General AI, ML & Big Data C-ServAI Staff Machine Learning Engineer, General AI, ML & Big DataSeattle, WashingtonThere AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. As one of our AI ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms AppleSenior Staff Machine Learning Engineer, Apple Search & Knowledge PlatformsSeattle, WAStrong engineering and R&D experience in LLM post-training, advanced RL-based methods to improve LLM models' safety and quality using RLHF/RLAIF, reward model, advanced RL policy optimization algorithms, cutting-edge hallucination reduction methods, and their engineering implementation, hands-on experience to develop and ship RL based models with high availability, low latency, robustness, and stability. **Minimum Qualifications** + 8+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models + Proven record of consistent delivery of technology/products across the full Machine Learning life cycle + MS or Ph.
Machine Learning Scientist - GenAI, KIT AmazonMachine Learning Scientist - GenAI, KITBellevue, WAWe pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence.
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD) Unity Software IncMachine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD)Bellevue, WAWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside.nn.
Machine Learning Engineer, Geometry Team Waymo LLCMachine Learning Engineer, Geometry TeamKirkland, WA$175,000–$215,000 / yearWe have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to: • develop methods for efficiently and continuously learning from large scale real-world data, • develop models and model training at scale, • analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, • optimize models for our onboard and offboard hardware. You have: • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience • 3+ years experience in Machine Learning and/or Computer Vision • Experience with Python and familiarity with C++ • Experience with ML frameworks like PyTorch, JAX, or Tensorflow.
AIML - Machine Learning Engineer - Computer Vision & Audio, MIND Apple IncAIML - Machine Learning Engineer - Computer Vision & Audio, MINDSeattle, WAIn this role, you will focus on designing and scaling high-performance data processing pipelines, ensuring data quality, performing in-depth failure analysis on production models, and implementing advanced data augmentation techniques to boost model performance. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects.
Expression of Interest: Machine Learning Engineer Moloco IncExpression of Interest: Machine Learning EngineerWAli>Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale. Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
Sr. Computer Vision and Machine Learning Engineer, Creativity Apps AppleSr. Computer Vision and Machine Learning Engineer, Creativity AppsSeattle, WAMinimum Qualifications** + MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies. As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can.
Sr. Computer Vision and Machine Learning Engineer, Creator Studio AppleSr. Computer Vision and Machine Learning Engineer, Creator StudioSeattle, WAMinimum Qualifications** + MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies. As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can.
Lead Machine Learning Engineer - LMTS Salesforce IncLead Machine Learning Engineer - LMTSBellevue, WA$172,500–$260,100 / yearli>Operationalize Intelligence: By prioritizing engineering rigor (CI/CD, scalable code) and adversarial resilience, you will deliver production-grade models that the SOC actually trusts-minimizing "alert fatigue" and maximizing analyst efficiency. Your work will expose sophisticated threats-such as active system intrusions, lateral movement, beaconing, and insider attacks-that evade traditional defenses, directly reducing the organization's risk surface.
Sr. Machine Learning Engineer - Advertising Technology Expedia Group IncSr. Machine Learning Engineer - Advertising TechnologySeattle, WA$184,500–$258,000 / yearp>Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. We are seeking a Senior Machine Learning Engineer to join our high-performing Advertising Technology team, where we build and operate large-scale batch and real-time ML systems that power pricing, inventory optimization, ranking, and trust & safety across the ad platform.
Machine Learning Engineer III Expedia Group IncMachine Learning Engineer IIISeattle, WA$146,000–$204,500 / yearExpedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. Within Trust and Safety, you'll develop models that uphold trust and fairness across Expedia's two-sided ecosystem, detecting anomalies, mitigating fraud, and supporting partners in delivering high-quality traveler experiences.
Applied Machine Learning Engineer IUNUApplied Machine Learning EngineerSeattle, Washingtondiv class="col col-xs-7 description" id="job-description"> At IUNU (“you knew’), we’re revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems.
Applied Scientist, Brand Protection Machine Learning AmazonApplied Scientist, Brand Protection Machine LearningSeattle, WAUse deep learning and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papers Key job responsibilities Amazon Science gives insight into the company's approach to customer-obsessed scientific innovation. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.
Staff Machine Learning Engineer - Search Warner Bros. Discovery IncStaff Machine Learning Engineer - SearchBellevue, WA$192,570–$357,630 / yearThis role will own the end-to-end search algorithm innovation from retrieval and ranking to personalization and experimentation, impacting how millions of users discover content globally. About You: We're looking for a Staff Machine Learning Engineer to lead the design and evolution of ML and AI driven Search algorithms for our global streaming app, HBO Max.
Staff Machine Learning Engineer, Vector Bidding Science Unity Software IncStaff Machine Learning Engineer, Vector Bidding ScienceWARemotep>While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside.nn.