ML Software Engineer Visa Sponsorship Jobs in Colorado
ML software engineer visa sponsorship jobs in Colorado are concentrated in Denver and Boulder, where companies like Google, Amazon, and Palantir maintain active ML teams. The state's growing aerospace and defense sector, alongside a strong university pipeline from CU Boulder and Colorado State, makes it a consistent source of H-1B sponsoring employers across applied ML and research roles.
See All ML Software Engineer JobsOverview
Showing 5 of 40+ ML Software Engineer Jobs in Colorado with Visa Sponsorship jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 40+ ML Software Engineer Jobs in Colorado with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs in Colorado with Visa Sponsorship.
Get Access To All Jobs
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.

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.
ML Software Engineer Job Roles in Colorado
See all 40+ ML Software Engineer Jobs in Colorado
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Software Engineer Jobs in ColoradoML Software Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for ml software engineers in Colorado?
Google's Boulder engineering office, Amazon Web Services, Palantir Technologies (headquartered in Denver), and Lockheed Martin's Colorado operations have all filed H-1B petitions for ML-related roles. Larger enterprise tech firms and defense contractors in the Denver metro tend to have established sponsorship processes, while smaller startups in the Boulder ecosystem may sponsor selectively depending on the seniority and specialization of the role.
Which visa types are most common for ml software engineer roles in Colorado?
The H-1B is by far the most common visa for ML software engineers in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a closely related field. Candidates with exceptional research credentials may also see O-1A petitions used by employers. Australians working in Colorado can pursue the E-3, which operates outside the H-1B lottery.
Which cities in Colorado have the most ml software engineer sponsorship jobs?
Denver and Boulder account for the large majority of ML software engineer sponsorship activity in Colorado. Denver draws employers in finance, aerospace, and enterprise software, while Boulder has a denser concentration of deep tech and AI-focused companies, partly driven by proximity to CU Boulder. Colorado Springs has a smaller but growing presence through defense contractors with ML and computer vision requirements.
How to find ml software engineer visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically for roles that include visa sponsorship, so you can search ML software engineer positions in Colorado without sorting through postings that won't support international candidates. Because sponsorship willingness isn't always stated clearly in generic job boards, Migrate Mate's focus on sponsoring employers saves significant time for candidates targeting Colorado's Denver and Boulder ML hiring markets.
Are there any Colorado-specific factors ml software engineers should know about when seeking visa sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to disclose compensation ranges in job postings, which gives international candidates more transparency when evaluating whether a role meets H-1B prevailing wage requirements before applying. CU Boulder and Colorado State University also generate a consistent pipeline of OPT candidates, meaning local employers are generally more familiar with work authorization processes than employers in states with less university-driven international hiring.
What is the prevailing wage for sponsored ml software 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.
See which ml software engineer employers are hiring and sponsoring visas in Colorado right now.
Search ML Software Engineer Jobs in Colorado