AI ML Engineer Visa Sponsorship Jobs in Colorado
Colorado's AI/ML engineering market centers on Denver and Boulder, where companies like Google, Amazon, and Lockheed Martin actively hire for these roles. The state's growing aerospace, defense, and tech sectors, combined with university talent pipelines from CU Boulder and Colorado State, make it a consistent source of visa sponsorship opportunities for international AI and ML engineers.
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INTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!
Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices.
Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team.
Come join us and build the future!
DESCRIPTION
The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.
We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines - from training advanced models to rapid on-device prototyping and full-scale productization.
In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
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Develop and optimize ML algorithms leveraging multimodal sensor data - like motion and audio - to detect user activities and contextual situations that enhance our understanding of real-world behavior
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Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
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Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
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Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
MINIMUM QUALIFICATIONS
M.S. or Ph.D. in Machine Learning, Computer Science, or a related field
Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data
Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow
Experience with Swift or Objective-C and developing on Apple platforms
Excellent communication and collaboration skills, with ability to work independently or in small teams
PREFERRED QUALIFICATIONS
Proficient in the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
AI ML Engineer Job Roles in Colorado
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Search AI ML Engineer Jobs in ColoradoAI ML Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Colorado?
Several large employers in Colorado have established track records of sponsoring work visas for AI and ML engineers. Google's Boulder office, Amazon Web Services, Lockheed Martin, Raytheon, and Oracle all appear in Department of Labor LCA filings for AI and ML-related roles in the state. Smaller Denver-based tech companies and defense contractors also sponsor, though less frequently and with more variable processes.
Which visa types are most common for AI ML engineer roles in Colorado?
The H-1B visa is the most common visa category for AI and ML engineers in Colorado, as these roles typically require at least a bachelor's degree in computer science, mathematics, or a related field, meeting the specialty occupation standard. Candidates with extraordinary recognition in the field may qualify for the O-1A. Some Canadian and Mexican nationals working in AI roles pursue the TN visa under the engineer or scientist category.
How to find ai ml engineer visa sponsorship jobs in Colorado?
Migrate Mate filters AI and ML engineer job listings specifically to Colorado and flags roles where employers have a documented history of visa sponsorship. Rather than sorting through hundreds of general postings, you can focus on Colorado-based AI and ML positions from companies that have filed LCAs for similar roles. This saves significant time compared to manually cross-referencing job boards with Department of Labor disclosure data.
Which cities in Colorado have the most AI ML engineer sponsorship jobs?
Denver and Boulder account for the large majority of AI and ML engineer visa sponsorship activity in Colorado. Boulder benefits from proximity to CU Boulder's computer science and data science programs, attracting research-oriented roles. Denver's broader tech and defense contractor presence drives higher overall hiring volume. Colorado Springs also has sponsorship activity, primarily through defense and aerospace employers like Northrop Grumman and L3Harris.
Are there state-specific factors that affect AI ML engineer visa sponsorship in Colorado?
Colorado's strong aerospace and defense sector means a meaningful share of AI and ML roles require security clearances, which can complicate or effectively exclude sponsorship for international candidates without existing work authorization. The state's active university ecosystem, particularly CU Boulder's OPT pipeline, means many employers are already familiar with visa sponsorship for technical roles. Prevailing wage requirements for Colorado metros are set by the Department of Labor and apply to all H-1B filings statewide.
What is the prevailing wage for sponsored ai ml engineer jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.