STEM OPT AI ML Platform Jobs
AI ML Platform roles sit squarely within STEM OPT eligibility, supported by computer science, data science, and engineering degrees. Your initial 12-month OPT extends by 24 months once your employer enrolls in E-Verify and files your I-983 training plan, giving you up to 36 months to build a career in machine learning infrastructure.
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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.
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Get Access To All JobsTips for Finding STEM OPT Authorization in AI ML Platform
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a STEM-designated field. AI and ML Platform roles most often qualify under CIP codes for computer science, electrical engineering, or applied mathematics. Your DSO can confirm your I-20 reflects the right code.
Check E-Verify status before accepting offers
STEM OPT requires your employer to be enrolled in E-Verify before your extension starts. Search the E-Verify employer search tool by company name to confirm active participation. A company that isn't enrolled can't legally employ you on a STEM OPT extension.
Target platform teams at E-Verify enrolled companies
ML platform and MLOps roles are concentrated at companies running large-scale model infrastructure. Use Migrate Mate to filter AI ML Platform jobs specifically to E-Verify enrolled employers, so you're only applying to companies that can legally support your STEM OPT extension.
Align your I-983 training plan to ML platform work
Your I-983 must connect your STEM degree to your day-to-day platform work. Frame objectives around specific skills like distributed training infrastructure, model deployment pipelines, or feature store architecture. Vague plans get flagged by DSOs and can delay your extension start date.
Use O*NET to anchor your specialty occupation case
Pull the O*NET occupation profile for your target role before you negotiate your offer. ML platform engineers typically fall under Software Developers or Computer and Information Research Scientists, both of which require a bachelor's degree in a specific technical field, which strengthens your OPT-to-H-1B transition argument.
File your STEM OPT extension at least 90 days early
USCIS recommends submitting your I-765 extension application up to 90 days before your initial OPT ends. Late filing eliminates the 180-day automatic extension that keeps you authorized while your application is pending. Confirm your exact deadline with your DSO as soon as you accept an offer.
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Find AI ML Platform JobsFrequently Asked Questions
Does my STEM degree qualify me for the 24-month STEM OPT extension in an AI ML Platform role?
It depends on your specific degree's CIP code, not just the subject area. Degrees in computer science, electrical engineering, applied mathematics, statistics, and data science are commonly STEM-designated and qualify for the extension. Your DSO confirms eligibility by checking whether your I-20 reflects a CIP code on the STEM Designated Degree Program List published by the Department of Homeland Security. An AI ML Platform role itself doesn't confer eligibility; your degree does.
What E-Verify requirement applies to my employer for STEM OPT?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension begins, not just at the time you accept an offer. Enrollment is required at the specific worksite where you'll be employed. You can verify enrollment using the E-Verify employer search tool before signing anything. If your employer is acquired or restructures after your extension starts, the new legal entity must independently enroll in E-Verify.
What should my I-983 training plan include for an AI ML Platform role?
Your I-983 must describe how the practical training directly relates to your STEM degree and supports your professional development goals. For AI ML Platform roles, this typically means documenting objectives around model deployment systems, data pipeline architecture, distributed computing, or ML infrastructure reliability. Your employer's authorized representative signs the form, and your DSO must receive it before your extension is authorized. Generic job descriptions without degree-field connections are commonly flagged.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM OPT expires and USCIS selects it in the lottery, cap-gap automatically extends your OPT work authorization through September 30 of that year. Your EAD remains valid during this period even if it has expired on its face. USCIS issues a cap-gap extension automatically; no separate application is required. Your DSO can issue an updated I-20 reflecting the cap-gap period.
Where can I find AI ML Platform jobs that are open to STEM OPT candidates?
Use Migrate Mate to search AI ML Platform jobs filtered to employers enrolled in E-Verify, which is the baseline requirement for hiring STEM OPT students. Many job listings don't explicitly state E-Verify enrollment, so filtering by confirmed enrollment saves significant time. Migrate Mate surfaces roles where the employer infrastructure already supports F-1 STEM OPT work authorization, reducing the risk of accepting an offer from a company that can't legally extend your status.
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