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Platform Engineer, IT
True Anomaly
Denver, CO · Long Beach, CA
Support data science and engineering teams with AI/ML infrastructure needs
Added 2 mins ago
Fellow Software Engineer-Eng (Agentic AI Architecture & Engineering)
UKG
Jefferson City, MO
Collaborate with Product, Engineering, Data Science, Security, and Legal teams to ensure alignment on architecture, governance, and responsible AI frameworks. Facilitate cross-functional…
Added 3 mins ago
Senior Product Manager/Product Builder
Emergence AI
NY
…building, deploying, and operating AI systems in production - from data connectivity and knowledge management to workflow orchestration, observability, evaluation, and governance. We…
Added 6 mins ago
Director - Customer Response Engineering
Musarubra US, LLC
Remote, United States
The Director leads CRE globally and owns engineering response for strategic customers across our endpoint, data security, email, and network products. The role also owns prevention: finding…
Added 6 mins ago
Staff Kernel Optimzation Engineer
Cerebras Systems
Sunnyvale, CA
As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI…
Added 7 mins ago
Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the…
Added 7 mins ago
AI Automation Engineer, Finance & Accounting
Cengage Group
Kansas City, MO
The AI Automation Engineer - Finance & Accounting applies AI to finance operations at Cengage to reduce cost, increase accuracy, and eliminate manual work from AP, AR, reconciliation, and…
Added 9 mins ago
Software Engineer, AI Systems
Miles Ahead Management LLC
Jacksonville, FL
You're a builder who thinks like an engineer, an architect, and a product owner. You have a strong software engineering foundation: you've designed systems, shipped production code, and…
Added 9 mins ago
T
Senior AI/ML Engineer
TEKsystems
New York, NY
- $119,800 to $179,800 USD / year
…customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms…
Added 10 mins ago
Mechanical Design Engineer
Actalent
Campbell, CA
Job Title: Mechanical Design EngineerJob DescriptionThe Mechanical Design Engineer owns the electro-mechanical design of custom fan filter units (FFUs) and related clean-air products. You…
Added 11 mins ago
Senior Forward Deployed Engineer, Microsoft AI&Data
Deloitte
Saint Louis, MO
+ Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
Added 11 mins ago
Senior Forward Deployed Engineer, Microsoft AI&Data
Deloitte
Kansas City, MO
+ Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
Added 12 mins ago
P
Principal Engineer, Mapping and Localization
PlusAI
Santa Clara, CA
- $200,000 to $240,000 USD / year
As a Principal Engineer on our Mapping and Localization team, you will design and implement high-fidelity fusion algorithms that combine LiDAR, Radar, Camera, IMU, and GNSS data with HD…
Added 13 mins ago
Senior Machine Learning Engineer, AI Safety Evaluations
NVIDIA USA
CA
We are looking for a Machine Learning Engineer / AI Researcher / Data Scientist to join our AI Safety and Responsibility efforts within Enterprise Risk Management. Engaging directly in…
Added 14 mins ago
Senior Director, Data and AI Engineer
Otsuka America Pharmaceutical Inc.
Jefferson City, MO
+ Build strong, trusted relationships with key stakeholders across R&D, Scientific and Operations AI Data Science teams, other DnA pillars, IT, and external partners.
Added 16 mins ago
CLOUD ADMIN
VSolvit
Remote, United States
Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, or a related technical field preferred. Equivalent combinations of relevant professional experience, technical…
Added 21 mins ago
U
Software Engineer II - Engineer
Uber
San Francisco, CA · Sunnyvale, CA
- $171,000 to $190,000 USD / year
…growth across the Delivery organization. As a Machine Learning Engineer (MLE) on the Feed Ranking team, you will own and develop models across our entire ranking stack (Retrieval +…
Added 21 mins ago
Automation and AI Enablement Engineer
FiberFirst
Southlake, TX
…measured fact rather than an impression. The role suits an engineer with sound judgment about when to automate, when to apply a model, and when to leave a working system…
Added 22 mins ago
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte
Saint Louis, MO
…business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments.…
Added 22 mins ago
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte
Kansas City, MO
…business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments.…
Added 22 mins ago
Knowledge Engineer / Semantic Expert for AI
Accenture LLP Company
NY
…leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together our Experienced Innovation, Strategic…
Added 24 mins ago
AI & HPC Infrastructure Engineer
Accenture
Saint Louis, MO
+ Integrate AI infrastructure platforms with existing IT systems, data pipelines, security frameworks, model-serving endpoints, and enterprise governance controls
Added 25 mins ago
NextGen Software Engineer
Johnson Controls Inc.
United States
Bachelor's degree in Software Engineering, Computer Science, Electrical Engineering, or a related field.
Added 25 mins ago
C
Entry-Level Engineer - Python, Data Analytics & Generative AI Life Sciences Commercial
Cognizant
Jefferson City, MO
- $65,000 USD / year
We are seeking a motivated and curious Entry-Level Engineer with a strong foundation in Python, data analytics, modeling, and Generative AI . This role is ideal for recent graduates or…
Added 27 mins ago
UG
Senior Software Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
…outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers,…

Qualtrics

Staff Machine Learning Engineer

Seattle, WA, United States

$213,000 - $259,000 USD

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Job details

Pay: $213,000 - $259,000 USD
Experience: Proven experience (7+ years) working as a Machine Learning Engineer, or related role.
Posting language: English
Posted: Nov 5, 2026

Original job 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.

When 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.

Staff Machine Learning Engineer, Foundation - Seattle

Why We Have This Role

We are looking for an experienced Machine Learning Engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage. We aim to enhance our capabilities in developing and maintaining high-performance systems that can effectively handle large volumes of data and complex algorithms. This role will be pivotal in driving innovation and ensuring our machine learning initiatives support our mission of closing experience gaps across various domains.

How You’ll Find Success

Working in a supportive environment enables individual growth and the achievement of team goals.
Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers.
It will be crucial to stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.
Analyze and enhance ML systems for better performance and efficiency.
Develop creative solutions to improve our ML infrastructure and scalability

How You'll Grow

Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems.
Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.
Gain insights into different areas of the business by collaborating with various teams, enriching your understanding of how technology impacts overall company strategy.

Things You’ll Do

Design and develop robust AI architectures, frameworks, and algorithms that can support large-scale and complex enterprise SaaS AI solutions in alignment with business objectives.
Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
Collaborate across the company to guide the direction of machine learning at Qualtrics, spanning teams from research to production.
Communicate with a team of research scientists, product managers, and engineers and lead and document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
Work closely with research scientists and model engineering teams on developing, and deploying, ML systems in production. Develop a strategy for optimizing models and systems for performance, scalability, efficiency, and cost.
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.
Conduct regular code reviews and provide technical guidance to team members.
Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.

What We’re Looking For On Your Resume

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
Proven experience (7+ years) working as a Machine Learning Engineer, or related role.
Proficiency in programming languages such as Python, Java, or C++, and popular AI libraries and frameworks (e.g. TensorFlow, PyTorch, Keras).
Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
Ability to stay updated with the latest AI technologies, frameworks, and platform advancements.
Knowledge of deploying and optimizing LLMS with open-source frameworks like DeepSpeed, Accelerate, FasterTransformer, and Transformers-NeuronX libraries is a plus.
Knowledge of ethical considerations and responsible AI practices is a plus.

What You Should Know About This Team

The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.
This role will specifically be on the Data Intelligence Platform (DIP) team which works on building services and tools that enable ML and intelligence across multiple products.
The DIP team's goal is to accelerate Qualtrics's ML adoption by enabling every engineering team to experiment, design, build, monitor, and troubleshoot ML-powered applications with a Platform that applies reusable components, patterns, and standards/best practices.

Our Team’s Favorite Perks and Benefits

Wellness Reimbursement for $300 per quarter for wellness activities, including gym memberships, spa massages, workout equipment, meditation apps, and much more.
Amazing 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.

The 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

Qualtrics 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.

Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics 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.

Not 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.

#AI For 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, and mental health benefits. For a detailed look at our benefits, visit Qualtrics US Benefits.

Washington State Base Annual Pay Transparency Range

$213,000 - $259,000 USD

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