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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 just now
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 just now
Knowledge Engineer / Semantic Expert for AI
Accenture LLP Company
NY
As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.
Added 2 mins ago
AI & HPC Infrastructure Engineer
Accenture
Saint Louis, MO
…expertise across cloud, on-premises, and hybrid environments to design, build, and operate advanced infrastructure that powers AI platforms, GPU-accelerated workloads, large-scale models,…
Added 4 mins ago
Automation Engineer
Howmet Aerospace
Tucson, AZ
The Automation Engineer is responsible for designing, implementing, supporting, and optimizing automated manufacturing systems and production processes. This position has a dotted-line…
Added 17 mins ago
Data Engineer 5
Capital One
McLean, VA · Richmond, VA · NY · Wilmington, DE
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Added 17 mins ago
AI Engineer 4 (AI Safety and Multimodal)
Capital One
San Jose, CA · McLean, VA · Cambridge, MA · NY
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 17 mins ago
Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 18 mins ago
Staff AI Engineer
Nova Biomedical
Waltham, MA
The Staff AI Engineer will serve as a senior hands-on technical leader within Nova's Data & AI function, designing, building, and operationalizing AI-enabled applications, agents, reusable…
Added 18 mins ago
Staff Data Engineer
DAT Solutions, LLC
Seattle, WA
…billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately,…
Added 19 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Saint Louis, MO
+ Translate business requirements into technical design and architecture
Added 19 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Kansas City, MO
+ Translate business requirements into technical design and architecture
Added 19 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Jefferson City, MO
+ Translate business requirements into technical design and architecture
Added 20 mins ago
Automation Engineer II
TECHTRONIC CORDLESS GP
Menomonee Falls, WI
The Automation Engineer II is a capable technical contributor who develops automated test solutions with growing ownership and independence. This individual applies knowledge of TAG, Lab,…
Added 20 mins ago
ISCE Staff Engineer Cannula COE
Becton, Dickinson and Company
United States
…feat. It takes the imagination and passion of all of us - from design and engineering to the manufacturing and marketing of our billions of MedTech products per year - to look at the…
Added 22 mins ago
Principal Supply Chain Data Engineer & Analytics Lead
Bausch + Lomb
Jefferson City, MO
The Principal Supply Chain Data Engineer and Analytics Lead is a critical role responsible for building the data foundation, analytics capabilities, and insight-generation engine required…
Added 23 mins ago
WW
Observability & SRE Engineer
World Wide Technology
Maryland Heights, MO
- $90,000 to $135,000 USD / year
World Wide Technology (WWT) is seeking an Engineer to join the Observability & Site Reliability Engineering (SRE) team. In this role, the Engineer will design, build, and operate the…
Added 27 mins ago
Mechanical Engineer I (Onsite)
RTX
United States
…Our systems include electronic processing units, harnessing design, and other components for interfacing with the vehicle and packaging the control assemblies. Due to the highly…
Added 27 mins ago
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Software Engineer Intern, Software Systems [Summer 2027]
Zoox
Foster City, CA
- $6,500 to $9,500 USD / month
…technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re…
Added 27 mins ago
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Software Engineer Intern, Software Platforms & Product [Summer 2027]
Zoox
Foster City, CA
- $6,500 to $9,500 USD / month
…technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re…
Added 27 mins ago
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Software Engineer Intern, Autonomy Software [Summer 2027]
Zoox
Foster City, CA
- $6,500 to $10,500 USD / month
Design, build and evaluate state-of-the-art algorithms or machine learning models for a real autonomous driving system.
Added 27 mins ago
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Hardware Engineer Intern, Vehicle Systems [Summer 2027]
Zoox
Foster City, CA
- $6,500 to $8,500 USD / month
…technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re…
Added 27 mins ago
Hardware Engineer Intern, Vehicle Development [Summer 2027]
Zoox
Foster City, CA
…technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re…
Added 27 mins ago
Hardware Engineer Intern, Manufacturing Operations [Summer 2027]
Zoox
Foster City, CA
…technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re…
Added 29 mins ago
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Ocotillo Technology Fabrication Yield Device Engineer
Intel Corporation
AZ
- $89,010 to $146,440 USD / year
As a Device Integration Engineer, your responsibilities may include but are not limited to:

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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