Jobs in the United States

25+ jobs

Added 1 min ago
CS
Artificial Intelligence Machine Learning Engineer 3
Captivation Software
Annapolis Junction, MD
- $130,000 to $270,000 USD / year
Broaden current AIML frameworks and machine learning libraries
Added 1 min ago
CS
Artificial Intelligence Machine Learning Engineer 2
Captivation Software
Annapolis Junction, MD
- $130,000 to $270,000 USD / year
Captivation Software is looking for a mid level AI/ML engineer who will be responsible for designing, creating, testing, and productizing AI/ML algorithms to solve business challenges
Added 1 min ago
CS
Artificial Intelligence Machine Learning Engineer 1 - C++/Marian/Java/AWS/PyTorch/Python
Captivation Software
Annapolis Junction, MD
- $130,000 to $270,000 USD / year
Captivation Software is looking for a mid level AI/ML engineer who will be responsible for building, training, fine-tuning, and evaluating advanced language models. The ideal candidate will…
Added 6 mins ago
Machine Learning Engineer
INSPYR Solutions
Sunnyvale, CA
The Machine Learning Engineer will join the Customer Systems team to design, develop, and optimize production-grade AI solutions, with a focus on Large Language Models (LLMs), agentic AI…
Added 8 mins ago
ML
Robotics HW Engineer
Multiply Labs
United States
- $11,000 to $180,000 USD / year
The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.
Added 12 mins ago
Machine Learning Engineer II (Model Training)
The Bison Group LLC
El Paso, TX
Bison Group is seeking a Machine Learning Engineer to train, fine-tune and evaluate models for AI analysis tools. You will own the model training lifecycle, from dataset preparation through…
Added 15 mins ago
Management Consultant - Data Engineer
IBM
SOMERVILLE, NJ · JERSEY CITY, NJ
AI Solution Development: Experience with developing and deploying AI solutions on cloud-based platforms, including natural language processing, machine learning, and deep learning. Ability…
Added 15 mins ago
AI Lead Engineer, Vice President
Citigroup
Jersey City, NJ
Data Engineering & Integration: Design and develop data pipelines supporting AI and machine learning workloads. Ensure data quality, lineage, governance, and security requirements are met.
Added 18 mins ago
Staff Software Engineer - GPU System Software, Onboard Execution
Zoox
Foster City, CA · Boston, MA · Seattle, WA
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics,…
Added 20 mins ago
Reservoir Engineer
Flywheel Energy
Oklahoma City, OK
Pair engineering judgment with asset-team data tools including well-performance models, machine-learning forecasts and depletion and spacing analytics to test which drivers move results
Added 24 mins ago
AI and Data Science Solution Engineer
MIT Lincoln Laboratory
Lexington, MA
The Homeland Sensors and Analytics Group designs, builds, and fields solutions that significantly enhance the tactical decision-making process of analysts and operators who secure the…
Added 26 mins ago
Software engineer 1 – AI/ML Engineer (MLOps)
U.S. Bank National Association
Chicago, IL · Cupertino, CA · Irving, TX · Hopkins, MN
Knowledge and experience with the Machine Learning Lifecycle.
Added 27 mins ago
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DISTINGUISHED SCIENTIST/ENGINEER FOR USW THEATER OPERATIONS
Naval Sea Systems Command
Naval Base Newport, RI
- $192,695 to $209,600 USD / year
TQ 1. Experience developing, integrating, and transitioning theater-level undersea warfare (USW) operational and decision-support systems. Technical expertise in theater-scale…
Added 27 mins ago
Sr. Software Dev Engineer, Leo Telemetry Platform
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
…making across Amazon’s Leo constellation - from satellites and ground gateways to customer terminals. Our team designs and operates large-scale data and compute systems that enable…
Added 29 mins ago
Data Scientist and Automation Engineer, Senior
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
Experience processing large data sets, optimizing ETL or ELT pipelines, and applying statistical or machine learning methods to mission-critical workflows
Added 29 mins ago
Lead Data Engineer
USA 3M Company
Remote, United States
We are seeking a Lead Data Engineer with strong experience in AI/ML data pipelines, feature engineering, and scalable data architectures. This role will lead the design, development, and…
Added 30 mins ago
Senior Machine Learning Infrastructure Engineer
Schrödinger
NY
We’re seeking a Senior Machine Learning Infrastructure Engineer to join us in our mission to transform the discovery of therapeutics and materials.
Added 41 mins ago
UF
Software Engineer III
Uber Freight
San Francisco, CA
- $150,000 to $182,000 USD / year
…helped Uber grow to be a worldwide company, as well as new and upcoming tech from our Compute, Platform and Machine Learning…
Added 44 mins ago
Founding Engineer, Applied AI
True Talent Solutions Partners
San Francisco, CA
- Develop AI agents and machine learning models that interpret, reason over, and manipulate complex engineering design data.
Added 53 mins ago
WB
Senior Systems Safety Engineer, AD/ADAS Systems
Woven by Toyota
Palo Alto, CA · Ann Arbor, MI
- $140,000 to $230,000 USD / year
…Toyota. Partnering with feature, systems, safety, cybersecurity and machine-learning teams, we turn prototypes into production-intent, standards-compliant software that can be trusted on…
Added 56 mins ago
Senior Data Engineer
Cricut
South Jordan, UT
We're hiring a Senior Data Engineer to shape the data foundation behind Cricut's product analytics, personalization, and AI initiatives. You'll own and evolve our event data platform, from…
Added 58 mins ago
Senior Python Backend Software Engineer III
JPMC page
Houston, TX
Strong knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Added 1 hour ago
Engineer Sr Lead, Artificial Intelligence / Machine Learning
FIS Global
New York, NY
We are looking for a Software Machine Learning Engineer to build domain-specific foundation and embedding models for financial data. These models learn useful representations from large…
Added 1 hour ago
L
Senior Product Security Engineer
Lambda
San Francisco, CA · Bellevue, WA
- $296,000 to $395,000 USD / year
As a Senior Security Engineer on Product Security, you'll make sure the right security decisions get made in everything Lambda sells, from the network and cluster infrastructure in our data…
Added 1 hour ago
Software Development Engineer, Ads Analytics & Insights-Fixed
Amazon.com Services LLC
New York, NY
…some at risk of slowing down. The Sales AI team builds the machine learning products that tell sales teams where each advertiser is on that journey and what will help them grow. Our…

Senior Data Quality Engineer, Data Quality Services

Irving, TX, United States

$112,710.00 - $183,140.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience.

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Job details

Pay: $112,710.00 - $183,140.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience.
Apply by: Nov 30, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Help Build the Future of Caterpillar – At Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world - on real jobsites, at global scale. You’ll build and deploy against one of the most unique data foundations - over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.

Be Part of What’s Next in Autonomous Construction Sites Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible - intelligent machines operating in dynamic jobsites - into reality. Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against. If this work motivates you, we invite you to join our team. In these roles, you’ll work at the intersection of the physical and digital worlds. You’ll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations. Apply today to build the new era of construction autonomy at Caterpillar.

Job Summary We are seeking a Senior Data Quality Engineer to define, measure, and automate the quality of the training and validation data used for robotics, autonomy, computer vision, and Vision-Language-Action (VLA) systems with a scrum team.

This role combines data engineering, machine learning, and quality engineering to build the quality gates, metrics, and validation tooling that ensure every dataset - from raw camera and LiDAR captures to auto-labeled annotations and captions - meets the accuracy, consistency, and coverage standards required to train and evaluate Caterpillar autonomy models. You will partner closely with AI Automation, Data Engineering, perception/ML model teams, and external annotation providers, leveraging technologies such as NVIDIA Cosmos Curator and Cosmos Reason alongside Caterpillar-specific AI models to scale AI-driven quality assurance. This is a hands-on technical role focused on making data quality measurable, automated, and continuously improving at production scale.

What You'll Do

Define data quality standards, acceptance criteria, and annotation guidelines for sensor data, labels, and captions used in perception and VLA datasets.
Build automated quality gates that validate data at every stage, from ingestion and labeling through dataset publication.
Develop and deploy AI-driven quality checks such as label-noise detection, consensus scoring, and caption verification using vision-language models (e.g., Cosmos Reason).
Define and track dataset quality KPIs such as label accuracy, inter-annotator agreement, and rework rate, and share results through dashboards and reports.
Audit internal and vendor annotations using gold datasets and statistical sampling, and manage annotation providers through scorecards, feedback loops, and SLAs.
Analyze dataset coverage and gaps, trace model failures back to data issues, and ensure dataset lineage, versioning, and governance.

What Makes This Role Unique Most data quality practices were built for structured business data - not for multimodal sensor data captured from heavy equipment operating on dynamic jobsites. In this role, you'll define what "good data" means for Caterpillar's autonomy and Physical AI programs. You'll work across computer vision, LiDAR, multimodal AI, and Vision-Language-Action datasets, directly influencing model performance and machine safety by ensuring the data that trains intelligent machines is accurate, consistent, and representative of real-world operating conditions.

Basic Qualifications

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.
3+ years of experience developing production-grade software using Python and SQL, modern software engineering practices, and containerization platforms (e.g. Docker, Kubernetes).
3+ years of experience designing and implementing data pipelines, APIs, and distributed data processing systems.
3+ years of experience building data validation frameworks and automated quality checks for large-scale datasets.
Strong understanding of statistics and sampling methods used to audit and measure data quality.
3+ years of experience managing Camera and LiDAR sensor datasets for autonomy or computer vision, including ground truth generation and annotation quality assurance.
Demonstrated ability to define annotation guidelines, identify labeling defects, and drive measurable improvements in dataset accuracy.
3+ years of experience using annotation and dataset management tools (e.g. Labelbox, CVAT, FiftyOne) and machine learning frameworks (e.g. PyTorch, MLflow).
Strong problem-solving and communication skills, with the ability to work across technical teams and external vendors.

Preferred Qualifications

Experience with computer vision, robotics, autonomy, Physical AI, or multimodal AI systems.
Experience with AI-assisted quality techniques such as label-noise detection, active learning, or consensus-based review.
Experience evaluating vision-language model outputs or working with Vision-Language-Action (VLA) datasets.
Experience with NVIDIA Cosmos Curator, Cosmos Reason, or similar AI data curation platforms.
Experience with data lineage, dataset versioning, and workflow orchestration tools (e.g. DVC, Airflow).
Experience with cloud platforms, MLOps, and machine learning deployment pipelines.
Experience managing vendor quality programs, including scorecards and SLAs.

Additional Details:

This position requires the candidate to work full-time at the Irving, TX office (Dallas)
Domestic relocation assistance is available for this position.
Visa sponsorship is available with this position.

Summary Pay Range:

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
These benefits also apply to part-time employees

Posting Dates:

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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