{"id":2941926,"url":"https://alion.io/job/qualtrics-senior-applied-scientist","title":"Senior Applied Scientist","company":{"id":3332,"name":"Qualtrics","domain":"qualtrics.com","url":"https://alion.io/company/qualtrics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":14,"ghost_share":0,"stale_share":0.786,"repost_share":0.071,"time_to_fill_p50_days":35,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":192500,"max":252500,"currency":"USD","period":"year","gross":null,"usd_annual":252500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-07-07T21:37:04Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-29T14:34:45Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":113},"description":"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. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.\nWhen you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities-ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.\nSenior Applied Scientist\nWhy We Have This Role\nWe are looking for a talented and innovative Senior Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D to the next level. Our goal is to personalize the Qualtrics experience using ML/AI features showcasing Qualtrics data as a core value proposition and competitive advantage. Applied scientists partner with application teams to deliver algorithms and models that drive efficiency, innovation, and growth. They identify business needs and define strategies where Qualtrics can most benefit from AI technologies and they conduct modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation.\nHow You’ll Find Success\nLeverage your deep knowledge of AI principles, including machine learning, natural language processing, and reinforcement learning.\nUse your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.\nDevelop and optimize algorithms for building scalable and efficient AI applications.\nTackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.\nUse effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for AI application development.\nDesign and execute evaluation strategies for agentic systems, including rubric-based success criteria, multi-turn conversation simulation, and LLM-as-a-judge frameworks.\nShow strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.\nHow You’ll Grow\nPassion for leveraging cutting-edge AI technology to create innovative applications that have a meaningful impact on businesses, industries, and society.\nCommitment to developing AI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.\nDrive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.\nWillingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.\nAgility to pivot and iterate on AI applications based on feedback, emerging trends, and changing business requirements.\nThings You’ll Do\nWork as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business.\nStay on top of the latest developments in machine learning and related research, and present research findings with the broader community.\nWork closely with, and incorporate feedback from other specialists, engineers, and product managers.\nLead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity.\nMentor and grow junior scientists, drive best practices for experimentation, reproducibility, monitoring and lifecycle management, and ensure models are reliable, scalable and impactful in production.\nChampion Evaluation-Driven Development (EDD) by embedding automated testing, risk-based assessments, and production monitoring into the full agentic lifecycle.\nWhat We’re Looking For On Your Resume\nBachelors and Ph.D in Computer Science or related fields.\n2+ years of post graduate industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.\nDeep learning implementation expertise (MxNet, TensorFlow, PyTorch etc)\nExcellent communication, writing and presentation skills.\nExcellent command of at least one modern programming language (preferably Python)\nExcellent problem solving ability.\nDeep understanding of machine learning model life cycle management.\nDepth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.\nKnowledge of or experience in building production quality and large scale deployment of applications related to machine learning.\nComfortable working in a fast paced, highly collaborative, dynamic work environment.\nExperience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc).\nPreference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.).\nProven track record in evaluating complex, multi-turn agentic systems. Deep experience with observability tools, evaluating tool-use reliability, and implementing systematic benchmarking in CI/CD pipelines.\nWhat You Should Know About This Team\nThe Core AI organization provides AI/ML research and development services for all product lines.\nWe are a global team spanning across the US, Canada and Europe.\nWe stay on top of the latest AI technologies and apply the state of the art to customer business problems.\nWe develop agentic applications, spanning both conversational and non-conversational interfaces, to empower our diverse global clientele.\nWe architect robust builder platforms that enable customers to seamlessly design and deploy their own custom agents.\nOur Team’s Favorite Perks and Benefits\nWellness Reimbursement for $300 per quarter for wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and much more.\n$1800 Experience bonus to be used for an “Experience” of your choosing\nAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.\nThe Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. #hybrid\nQualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.\nApplicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act\nQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.\nNot finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.\n#AI\nFor full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. 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