Machine Learning Visa Sponsorship Jobs in Colorado
Colorado's machine learning job market centers on Denver and Boulder, where companies like Google, Lockheed Martin, and a dense cluster of healthtech and aerospace firms actively hire ML engineers and data scientists. The state's proximity to top research universities, including CU Boulder and Colorado State, creates a steady pipeline of technical talent and employers experienced with visa sponsorship.
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Get Access To All JobsINTRODUCTION
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:
-
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
-
Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
-
Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
-
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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:
-
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
-
Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
-
Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
-
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Machine Learning Job Roles in Colorado
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Search Machine Learning Jobs in ColoradoMachine Learning Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Colorado?
Several large employers in Colorado have consistent H-1B sponsorship histories for machine learning roles. Google's Boulder engineering office, Lockheed Martin, Palantir (which has significant Denver presence), and healthtech companies like DaVita and Optum are among those that have filed LCAs for ML and AI positions. Aerospace and defense contractors along the Front Range also recruit ML engineers and have established immigration processes.
Which visa types are most common for machine learning roles in Colorado?
The H-1B is the most common visa for machine learning engineers and data scientists in Colorado, as ML roles typically satisfy the specialty occupation requirement given the degree-level technical skills involved. Australians may pursue the E-3 visa as an alternative with no lottery. Candidates with exceptional research records or published work may also qualify for the O-1A. TN status is available to Canadian and Mexican nationals in qualifying computer-related occupations.
Which cities in Colorado have the most machine learning sponsorship jobs?
Denver and Boulder account for the majority of machine learning visa sponsorship activity in Colorado. Boulder's tech corridor hosts a concentration of AI startups and research-driven companies, partly due to CU Boulder's strong computer science programs. Denver attracts larger enterprise employers across healthtech, fintech, and aerospace. Colorado Springs has a smaller but active market tied to defense and government contracting, where ML roles in computer vision and data analysis appear regularly.
How to find machine learning visa sponsorship jobs in Colorado?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Colorado by visa sponsorship eligibility, saving you from manually screening hundreds of listings. You can browse current openings from employers who have demonstrated sponsorship history for ML and AI positions across Denver, Boulder, and the broader Front Range. Filtering by state and role on Migrate Mate surfaces opportunities that match both your technical background and immigration needs.
Are there state-specific factors that affect machine learning visa sponsorship in Colorado?
Colorado's Equal Pay for Equal Work Act requires employers to include compensation ranges in job postings, which gives machine learning candidates useful context when evaluating whether a role meets prevailing wage requirements under H-1B rules. The state's strong university pipeline from CU Boulder and Colorado School of Mines means employers here are generally familiar with OPT and STEM OPT extensions, making the transition from student status to sponsored employment more straightforward at many local companies.
What is the prevailing wage for sponsored machine learning 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.
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