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.
ul>Masters Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelors Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. As a Software Engineer II in Microsoft’s Sovereign Cloud Security team, you’ll help design, deliver, and secure highly reliable services that underpin both internal security platforms and customer‑facing cloud offerings.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
p>· Masters Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelors Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
ul>Masters Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python- OR Bachelors Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.
p>· Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
ul>Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Lead cross-team collaboration to identify dependencies, negotiate delivery schedules, drive alignment across partner teams, and ensure proper end-to-end testing, live-site coverage, scalability and performance before going live.
p>Masters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelors Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
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. Since 2010, we’ve 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.
Collaboration skills will be required to work closely with other engineering teams to ensure services and systems are highly stable, meet performance Service level agreements (SLA), and meet the expectations of internal and external customers and users. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. We are looking for a Principal Software Engineer - Responsible AI who is passionate about building customer-facing AI services with scalable and sustainable architecture and implementation and with high performance, low latency, and high availability.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. - Bachelors Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
- OR equivalent experience.
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.
This team owns the core ASA platform that serves contextual ads across 1P surfaces (Alexa+, Amazon.com) and 3P publisher integrations, delivering AI-native ad formats including Sponsored Collections, Sponsored Brand Agents, and Commercial Insights that seamlessly integrate into conversational experiences. 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.
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.
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.
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.
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.
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.
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.
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.