April 9, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
p 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.
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. This team owns prompt generation, quality, personalization, and coverage for Sponsored Prompts, a new conversational ad format powered by large language models (LLMs) that helps shoppers discover products across Amazon.com.
June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
June 23, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. This position applies expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain.
Newcastle, WA30+ days ago
AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. * The AI Scientist II would have a degree (master's or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics.
Work Experience: 4-7 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required). Job Responsibilities: Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
We are looking for a Senior Applied Research Scientist who is experienced with training large language models and/or large multimodal models. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives.
4-7 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required). Job Responsibilities: Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights.
If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com. Provide a full range of consulting services to help State, Local and Education clients implement new ideas to help achieve their mission outcomes by delivering a unique perspective on how data science and analytics can transform and improve their entire organization.
Disqualifiers: Candidates who are not comfortable engaging with stakeholders regularly (e.g., presenting insights, driving conversations, or training partners on data outputs) would not be a fit for this role. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
The ideal candidate will have strong experience in advanced analytics, experimentation, and predictive modeling in Python and SQL on Databricks and a proven ability to optimize subscription and digital content revenue while protecting player experience. * Disqualifiers: Candidates who are not comfortable engaging with stakeholders regularly (e.g., presenting insights, driving conversations, or training partners on data outputs) would not be a fit for this role.
Bachelor’s degree in quantitative Statistics, Computer Science, Information Sciences and Technology, Engineering, Mathematics, or a related field, and five (5) years of experience as a Data Analyst, or in a related occupation. Disambiguate complex business problems from Nordstrom and Rack store and digital leaders with quick answers rooted in sound methodologies.
Must have one year of experience in the following skills: (1) building statistical models and machine learning models using large datasets from multiple resources; (2) building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language; and (3) communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization. Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.
Minimum 5 years of experience in data science or analytics, with a strong focus on business-facing problem solving and proven experience partnering with business teams (preferably Marketing) to translate needs into analytical solutions. Partner with Marketing to Define and Solve Problems - Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels.
Minimum 5 years of experience in data science or analytics, with a strong focus on business-facing problem solving and proven experience partnering with business teams (preferably Marketing) to translate needs into analytical solutions. Partner with Marketing to Define and Solve Problems - Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels.
In this role, you will work as part of a team to apply your skills and knowledge of human factors issues such as attention and perception, sensorimotor control, and workload, and relate them to driver behavior, road system design, driver-vehicle interface evaluations, driver interactions with automated vehicles, and other related applications. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.
Specific skills/other requirements (quantitative experience requirement not applicable to this section) - must possess the following skills (i) deploy core analytics methodologies and techniques including at least two of the following: predictive modeling, exploratory data analysis, descriptive statistics, variable reduction, segmentation/clustering, linear programming, integer programming, dynamic programming, and/or constraint programming; (ii) design complex analytics solutions and products using at least two of the following analytics techniques: time series analysis, linear, logistic, and multinomial regression, decision-tree based models, neural networks, Monte Carlo simulations, mathematical optimization, matrix factorization, deep learning approaches, and/or natural language processing; (iii) perform data visualization using at least one of the following tools: Tableau, GIS toolkits, JavaScript/D3, and/or R Shiny; (iv) execute quality control and performance testing in multiple languages, including at least two of the following: Python, R, Spark, and/or SQL; (v) drive Agile projects and apply lean methodologies to model development; and (vi) deliver impactful, client facing analytics solutions. Requires a Bachelor’s degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, Business, Economics, Operations Research, or a related field (willing to accept foreign education equivalent) and four (4) years of experience as a Data Scientist or related occupation developing advanced data analytics solutions in an enterprise environment, which must include at least six (6) months of experience leading the design and roll-out of analytics engagements.
Whether you're advancing algorithms for efficient learning, designing ML-friendly compute architectures, or experimenting with new model deployment paradigms - your work at Arm can influence billions of devices worldwide. * Efficient and Sustainable AI: Techniques to improve the performance, efficiency, and scalability of machine learning workloads, spanning algorithms, representations, and system-level optimizations.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Photoshop ART is seeking a Research Scientist to join our inpainting R&D team focused on making significant progress in image generation/restoration, low level vision, image editing with an eventual posture toward productization.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. The Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for an Applied Scientist / Machine Learning Engineer with experience in post-training and distillation of large generative AI models.
At the intersection of autonomous agents and large language models (LLMs), you will build the models and systems that turn enterprise data into self-directed, decision-making agents-shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
In this role,you willprovide technical and strategic leadershipwithin MQE bydefiningdata scienceroadmap and execution plans, owningend-to-enddevelopment ofadvanced modeling, analytical,and measurement systems, and partnering closely with engineering, product, and business leaders to translate complexrequirementsinto trusted, scalable solutions. Design, build, andproductionizestatistical and machine learning models to detect fraud, invalid traffic, and low-quality inventory in adversarial, large-scale environments.
Following LW's Stage Gate process, and using consumer insights, you will manage projects to develop new products, processes and/or technologies for potential commercialization, including written reports. You'll gain access to hands-on training to fuel your growth and success, explore opportunities for new solutions, and you'll join a winning team of 10,000+ people all dedicated to raising the bar - together.
Knowledge of at least one (1) of the following types of instrumentation is preferred with the ability to identify issues, trouble shoot, and work with others to resolve instrumentation issues: ICP-MS; ICP-OES; and Ion Chromatography Instrumentation. Health & Wellness: Multiple medical plan options, dental & vision coverage, life insurance, long- and short-term disability, and optional supplemental plans (critical illness, accident, hospital indemnity, dependent life).
Experience and education requirements: PRIMARY REQUIREMENTS: Master’s degree in Applied Economics, Economics, Mathematics, Operations Research, Statistics, Finance, or related, or its foreign equivalent and 5 years of relevant work experience. Contribute to the design, innovation and refinement of media attribution models including Marketing Mix Modeling and Multi-Touch Attribution to evaluate marketing effectiveness and align attribution insights with forecasting strategies (10%).
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Technical Skills: Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages is required.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. You'll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create.
Masters, MBA, JD, MD) or 6+ years of work experience with a PhD* Three (3) years of experience building AI / ML powered models for predictive analytics / insights* Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).* Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Masters, MBA, JD, MD) or 3 or more years of experience with a PhD* Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)* Two (2) years of experience designing, building/fine tuning ML/AI models around data insights, anomaly detection e.t.c* Two (2) years of experience in designing, building, evaluating metrics for model performance and business outcome* Three (3) years of experience building and pushing code into production.* Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies.