AI ML Platform Jobs for OPT Students
AI ML Platform engineering sits at the intersection of infrastructure and machine learning, making it one of the most OPT-friendly specializations in tech. Employers in this space regularly sponsor H-1B visas, and STEM OPT extensions give you up to three years of work authorization to build the track record that makes sponsorship straightforward.
See All AI ML Platform JobsOverview
Showing 5 of 17+ AI ML Platform 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 17+ AI ML Platform jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Platform roles.
Get Access To All JobsJob Title: Machine Learning Engineer & AI Platform Developer
Location: Remote
Type: Full-Time
Job Description:
We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.
Key Responsibilities:
- Design and develop machine learning models and AI platforms to solve complex problems.
- Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
- Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
- Collaborate with cross-functional teams to integrate machine learning models into existing applications.
- Optimize and monitor model performance, making improvements as necessary.
- Stay current with emerging AI technologies and best practices to drive continuous improvement.
- Document processes, code, and model performance for future reference.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
- Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Solid understanding of algorithms, data structures, and software engineering principles.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced environment.
Job Title: Machine Learning Engineer & AI Platform Developer
Location: Remote
Type: Full-Time
Job Description:
We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.
Key Responsibilities:
- Design and develop machine learning models and AI platforms to solve complex problems.
- Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
- Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
- Collaborate with cross-functional teams to integrate machine learning models into existing applications.
- Optimize and monitor model performance, making improvements as necessary.
- Stay current with emerging AI technologies and best practices to drive continuous improvement.
- Document processes, code, and model performance for future reference.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
- Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Solid understanding of algorithms, data structures, and software engineering principles.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced environment.
How to Get Visa Sponsorship in AI ML Platform
Target companies with dedicated ML infrastructure teams
Large tech firms and AI-focused startups with dedicated ML platform teams sponsor OPT and H-1B at high rates. Look for engineering organizations where ML infrastructure is a core product function, not a side project maintained by a single engineer.
Lead with platform impact, not just model work
Hiring managers for ML platform roles want engineers who reduce friction for data scientists at scale. Frame your experience around compute cost reduction, training throughput improvements, or pipeline reliability, not just model accuracy benchmarks from academic projects.
Get your STEM OPT extension filed before your OPT expires
Your STEM OPT extension application must be filed at least 90 days before your initial OPT end date. Missing this window means a gap in work authorization. Coordinate early with your DSO and confirm your employer qualifies under E-Verify requirements.
Specialize in a high-demand ML platform layer
Feature stores, model registries, distributed training orchestration, and inference serving are all understaffed relative to demand. Deep expertise in one of these layers makes you a stronger H-1B petition candidate because the specialty occupation requirement is easier to document.
Understand your employer's H-1B sponsorship timeline
H-1B cap-subject petitions can only be filed in April for an October start. If your OPT expires before October, ask whether the employer will file for cap-exempt status or use an academic or nonprofit partner. Clarify this before accepting an offer.
Document your work authorization status clearly in applications
When applying, state your OPT status, your STEM extension eligibility, and your authorization end date upfront. Employers unfamiliar with OPT often assume it means immediate sponsorship costs. Showing you have one to three years of self-authorized work time removes that friction.
AI ML Platform jobs are hiring across the US. Find yours.
Find AI ML Platform JobsSee all 17+ AI ML Platform jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Platform roles.
Get Access To All JobsFrequently Asked Questions
Do AI ML Platform jobs typically qualify for the STEM OPT extension?
Yes. AI ML Platform roles are almost always classified under CIP codes in computer science or electrical engineering, both of which appear on the STEM Designated Degree Program list. As long as your degree is in a qualifying STEM field and your employer participates in E-Verify, you can extend your OPT by 24 months beyond the initial 12, giving you up to three years of work authorization total.
How do I find AI ML Platform jobs that are open to OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters job listings by sponsorship willingness, so you're not wasting time applying to roles where OPT is a disqualifier. AI ML Platform roles are well-represented on the platform because the employers posting there are already accustomed to hiring international talent on OPT and H-1B.
Can I work on an AI ML Platform team at a startup on OPT?
Yes, but verify the startup participates in E-Verify before accepting an offer if you plan to apply for a STEM OPT extension. E-Verify enrollment is a federal requirement for STEM OPT employers, and smaller startups sometimes haven't completed it. Enrollment takes only a few days, so most employers are willing to complete it if they want to hire you.
What makes AI ML Platform a strong field for long-term visa sponsorship?
ML platform engineering is a well-defined specialty occupation with a clear degree requirement in computer science or a related engineering field, which makes H-1B petitions more straightforward to document than generalist software roles. Demand consistently exceeds supply, so employers in this space have strong financial incentives to sponsor rather than lose a qualified candidate to a competitor.
What should I do if my OPT expires before my employer's H-1B petition is approved?
If you filed your H-1B petition before your OPT expired and your status is maintained through cap-gap coverage, you may continue working while the petition is pending. Cap-gap automatically bridges the period between OPT expiration and the October 1 H-1B start date for timely-filed petitions. Confirm with your DSO that your I-20 reflects the cap-gap extension and that your employer's attorney filed before the April deadline.
See which AI ML Platform employers are hiring and sponsoring visas right now.
Search AI ML Platform Jobs