Senior Applied Scientist, Linear Personalization Experience Team (LPEX) Amazon.com Services LLCSenior Applied Scientist, Linear Personalization Experience Team (LPEX)Seattle, 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+. The LPEX team's vision is to surface the breadth and depth of Prime Video's linear selection at exactly the right moment for each customer curating the most relevant programming, tailored to individual tastes, purchase behaviors, schedules, and viewing habits, while simultaneously elevating awareness of our extensive live and linear catalog.
Principal Applied Scientist, Alexa International Tech Amazon.com LLCPrincipal Applied Scientist, Alexa International TechBellevue, WAResponsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. Alexa International is at the nexus of all other Alexa teams and features, such as Smart Home, Music, News, ASR (Automatic Speech Recognition), NLU (Natural Language Understanding), Fire TV, Skills etc.
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.
SRE - Senior AI Platform Reliability Engineer HTC Global Services IncSRE - Senior AI Platform Reliability EngineerSeattle, WARemoteFull timeThe selected engineer will help build, scale, and operate the cloud and Kubernetes infrastructure that enables enterprise AI capabilities across the company and the selected engineer will help design, scale, and operate the cloud and Kubernetes infrastructure supporting enterprise AI workloads. The ideal candidate combines strong AI platform infrastructure experience with deep expertise in SRE, Kubernetes, multi-cloud engineering, Infrastructure as Code, observability, and production reliability.
DevOps Engineer III Pinnacle Technical ResourcesDevOps Engineer IIISeattle,, WashingtonRemote$80–$85 / hourContractorCritical objectives within the team are related to each and every service: high uptime/zero downtime (availability), efficiently scaled (up to 1000 requests per second) and performance (sub-second latency) for our customers. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Data BI Analyst - Junior Level (Remote) SynergisticITData BI Analyst - Junior Level (Remote)Redmond, WARemote$82,000–$136,000 / yearFull timeSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Entry Level Java/DevOps Developer - Remote SynergisticITEntry Level Java/DevOps Developer - RemoteSeattle, WARemote$91,000–$136,000 / yearFull timeSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. SynergisticIT JOPP is good for entry-level software engineering candidates because it helps address the key areas where applicants often fall short: current skills, hands-on projects, resume alignment, interview confidence, and job-search execution.
Junior/Entry Level Software Engineer/data scientist SynergisticITJunior/Entry Level Software Engineer/data scientistSeattle, WA$82,000–$136,000 / yearFull timeSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. SynergisticIT JOPP is good for entry-level software engineering candidates because it helps address the key areas where applicants often fall short: current skills, hands-on projects, resume alignment, interview confidence, and job-search execution.
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.
Staff Machine Learning Engineer, Programmatic Ads Pinterest, Inc.Staff Machine Learning Engineer, Programmatic AdsSeattle, WAFull timeWe're looking for a Staff ML engineer to develop core bidding and ranking systems that help us optimally buy and sell inventory across exchanges, driving strong ROI for advertisers and growing a critical revenue stream for Pinterest. This role will need to be in the office for in-person collaboration3 times per quarterand therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.
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.
Staff Machine Learning Engineer, Ads Conversion Pinterest, Inc.Staff Machine Learning Engineer, Ads ConversionSeattle, WARemoteFull timeWe are looking for a Staff MLE to lead the technical vision for our Ads Advanced Conversion Modeling team, building the state-of-the-art systems that power our global marketplace. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
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.
Principal TPM, Search Amazon.com Services LLCPrincipal TPM, SearchSeattle, WAIn this role, you will address customer challenges, define strategic vision, prioritize investments in ML and personalization technology, and create innovative search experiences globally across all devices. • Define KPIs and metrics to measure success, identify areas for improvement and provide actionable updates to leadership through detailed reporting and insights.
Software Product Manager - (Accounting/Finance ERP Experience required) JobotSoftware Product Manager - (Accounting/Finance ERP Experience required)Seattle, WA$140,000–$185,000 / yearThe ideal candidate will bring a unique blend of finance expertise, product management experience, and technical curiosity to partner with engineering, design, and go-to-market teams to build products that solve real-world business problems. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
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.
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 ExcellenceSeattle, WAThe 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 ExcellenceSeattle, WAThe 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.
Principal Machine Learning Engineer Extreme Networks IncPrincipal Machine Learning EngineerSeattle, WAOur group is responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing Extreme flagship products and new offerings from the company. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before.
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.
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.
NewMachine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 Start (PhD)Seattle, WAThis full-time PhD Graduate role provides early-career researchers and engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in applied research and improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. Currently pursuing or recently completed a PhD degree in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Information Retrieval, Natural Language Processing, Data Mining, Statistics, or a related technical field.
NewMachine Learning Engineer - Computer Vision & Data Systems Apple IncMachine Learning Engineer - Computer Vision & Data SystemsSeattle, WAIn this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions. Experience working with distributed computing frameworks (e.g., Spark, Ray, or equivalent).PhD in a relevant field with research directly related to computer vision, large-scale data systems, or multimodal learning.
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.
Machine Learning Systems Engineer - Video Computer Vision Apple IncMachine Learning Systems Engineer - Video Computer VisionSeattle, WAThe Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. Develop on-device software that bridges multimodal AI models and computer vision technologies with production systems deployed across Apple devices.
Staff Machine Learning Engineer HiveStaff Machine Learning EngineerSeattle, WA$200,000–$300,000 / yearEverything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
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.
People Technology Manager - Recruiting Tech & Learning Platforms OKTAPeople Technology Manager - Recruiting Tech & Learning PlatformsBellevue, WAFull timeIn this role, you will design and manage a scalable, reliable ecosystem across our recruiting technology stack and Learning Management System (LMS), ensuring seamless workflows, high-quality data, and strong system performance globally. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process.
NewMachine Learning Engineer Graduate (TikTok-Data-Search-Local Service) - 2027 Start TikTok IncMachine Learning Engineer Graduate (TikTok-Data-Search-Local Service) - 2027 StartSeattle, WAThis full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.
Machine Learning Engineer HiveMachine Learning EngineerSeattle, WA$120,000–$180,000 / yearEverything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
AIML - Sr Machine Learning Engineer - Data and ML Innovation AppleAIML - Sr Machine Learning Engineer - Data and ML InnovationSeattle, WAThe Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. YOUR WORK MAY SPAN VARIOUS APPLICATIONS, INCLUDING: Designing self-supervised and semi-supervised representation learning pipelines, and fine-tuning strategies for tasks like speech recognition and speaker identification.
NewMachine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 Start TikTok IncMachine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 StartSeattle, WAThis full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.
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.
Staff Machine Learning Engineer Remitly, Inc.Staff Machine Learning EngineerSeattle, WA$208,000–$260,000 / yearExperience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.
Machine Learning Engineer AppleMachine Learning EngineerSeattle, WAMinimum Qualifications** + Software engineering skills and proficiency in Python + Experience with PyTorch + Independent problem solving skills + BS degree and 10+ years of experience **Preferred Qualifications** + Passion for delivering high quality features to large groups of diverse end-users + Excellent communication and experience working with multi-functional teams + Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule + MS degree in computer vision, computer graphics, machine learning or related field + PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Machine Learning Engineer - News, Books, and Stocks Team AppleMachine Learning Engineer - News, Books, and Stocks TeamSeattle, WARole Number:** 200660323-3337 **Summary** In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more!
Machine Learning Engineer Robinhood Markets IncMachine Learning EngineerBellevue, WA$161,138–$200,000 / yearCross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
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.
Principal Machine Learning Engineer, Content ML, Level 7 SnapchatPrincipal Machine Learning Engineer, Content ML, Level 7Bellevue, WA$276,000–$414,000 / yearThe Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ years of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience.
Staff Machine Learning Engineer, Foundation - Seattle Qualtrics International Inc (Inactive)Staff Machine Learning Engineer, Foundation - SeattleSeattle, WA$208,000–$298,500 / yearOffer 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.
NewStaff/Senior Machine Learning Engineer, Search & Knowledge Platform Apple IncStaff/Senior Machine Learning Engineer, Search & Knowledge PlatformSeattle, WAAs part of our team, you will be leveraging and improving upon the latest deep learning techniques, such as LLM and RAG, in order to understand queries and user intents, rank documents, and find useful answers to users' questions. As a Staff/Senior Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models.
NewSr. Machine Learning Engineer - AI Zoom Communications IncSr. Machine Learning Engineer - AISeattle, WAMust have 3 years of experience in the following: 3 years of experience in design, development, and deployment of document understanding and processing pipelines; 3 years of experience in deploy, monitor, and maintain machine learning models (LLMs and agentic workflows) in a microservice environment using Docker, Kubernetes (AWS EKS), and internal platforms (ZCP); 3 years of experience in evaluating external data sources to enhance AI search/document understanding; 3 years of experience in developing performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency; 3 years of experience in design and maintaining data ingestion, preprocessing, and transformation pipelines for both structured and unstructured data, ensuring high data quality and reliability; 3 years of experience in architect and optimizing large-scale Machine Learning workflows to process structured and unstructured data for knowledge graphs and search services; 3 years of experience collaborating with cross-functional teams of engineers, product managers, and domain experts to define requirements and implement scalable, production-ready ML services; 3 years of experience optimizing knowledge graph algorithms for performance, scalability, and reliability. Conduct research on cutting-edge Machine Learning, NLP, and knowledge graph techniques, evaluating external data sources to enhance search and document understanding capabilities; Develop/maintain documentation, best practices, guidelines; Mentor junior engineers and contribute to team knowledge-sharing, best practices, and internal technical guidelines; Lead the design, development, and deployment of AI search pipelines, including document understanding and retrieval systems, using libraries such as Docling; Evaluate external data sources to enhance AI search/document understanding; Develop performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency; Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; Design and maintain data ingestion, preprocessing, and transformation pipelines for both structured and unstructured data, ensuring high data quality and reliability.
Machine Learning Engineer - Applied Science AppleMachine Learning Engineer - Applied ScienceSeattle, WAYou actively monitor recent research literature - including arXiv, NeurIPS, ICML, ACL, SIGIR, and industry publications - and have a track record of translating findings into practical system improvements. **Preferred Qualifications** + PhD in Computer Science, Machine Learning, Information Retrieval, or a related field, or equivalent research experience demonstrated through publications, patents, or significant open-source contributions.
AIML - Machine Learning Engineer, MIND AppleAIML - Machine Learning Engineer, MINDSeattle, WADescription** As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation **Minimum Qualifications** + Proficient in Python and deep learning frameworks like PyTorch. **Role Number:** 200651341-3337 **Summary** As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community.
Machine Learning Engineer, Information Security AppleMachine Learning Engineer, Information SecuritySeattle, WAYou will translate research to design, building and deploying machine learning models for security use cases, leveraging generative AI, statistical modeling, reinforcement learning, and data science to address complex security challenges. This is an incredible opportunity to make a real world impact by building intelligent systems that detect and prevent advanced threats, enhance critical security processes, and protect Apple and our customers.
Machine Learning Engineer, Apple Search & Knowledge Platforms AppleMachine Learning Engineer, Apple Search & Knowledge PlatformsSeattle, WAMinimum Qualifications** + MS degree in Computer Science, Machine Learning, or related field with 2+ years of industry experience building production ML/AI systems, OR PhD degree in a related field + Proficiency in mainstream programming languages such as Python, Scala, and Go + Experience building and maintaining large-scale data systems, knowledge graphs, and end-to-end ML pipelines in production, ideally using the Apache software stack (e.g., Spark) + Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow in production environments + Experience with natural language processing, statistical data analysis, and model evaluation methodologies + Demonstrated ability to collaborate with cross-functional teams including product, engineering, and data science + Experience with CI/CD pipelines, model deployment, and monitoring solutions **Preferred Qualifications** + MS degree with 6+ years of industry experience building and scaling ML/AI systems, OR PhD degree with 3+ years of industry experience in production ML environments + Proven track record designing, deploying, and maintaining large-scale distributed ML systems serving millions of QPS (queries per second) + Experience with A/B testing, experimentation frameworks, and data-driven product iteration at scale + Experience designing human-in-the-loop evaluation pipelines and leveraging user feedback to improve model performance + Hands-on experience with LLM deployment, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or other generative AI technologies in production + Experience building model monitoring, observability, and quality assurance systems for production ML services + Experience optimizing ML systems for latency, throughput, and cost at scale + Track record of shipping ML-powered features that measurably improved user experience for consumer-facing products + Strong product intuition and ability to translate business requirements into technical solutions You will partner with cross-functional teams to change how hundreds of millions of people use their computers and mobile devices to search and provide users with results that best satisfy their information seeking needs.
Machine Learning Engineer RobinhoodMachine Learning EngineerBellevue, WA$161,138–$200,000 / yearCross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
Sr. Machine Learning Engineer PitchBook Data IncSr. Machine Learning EngineerSeattle, WA$170,000–$240,000 / yearAs 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 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.