OPT Sr Staff Machine Learning Engineer Jobs
Sr Staff Machine Learning Engineer roles are among the most OPT-friendly positions in tech. Companies filing H-1B visa petitions for ML engineers do so at high rates, and your STEM OPT extension gives you up to three years of work authorization to land and grow in one of these roles.
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Get Access To All JobsINTRODUCTION
About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We’re hiring AI & ML Engineer in Las Vegas, NV.
ROLE AND RESPONSIBILITIES
What You'll Work On
- Build AI applications using LLMs, RAG, and AI Agents
- Develop Computer Vision solutions (YOLO or similar)
- Create backend APIs with Python and FastAPI/Flask
- Support ML pipelines, MLOps, and cloud-based AI solutions
- Build scalable applications on AWS using Docker and modern development practices
BASIC QUALIFICATIONS
Required Knowledge & Skills
- Strong proficiency in Python
- Understanding of Machine Learning and Deep Learning fundamentals
- Familiarity with LLMs, Generative AI, and RAG architectures
- Basic knowledge of Computer Vision (experience with YOLO or similar frameworks is a plus)
- Understanding of FastAPI/Flask and REST API development
- Foundational knowledge of AWS, Docker, Git, and Linux
- Exposure to JavaScript/TypeScript is beneficial
- Strong analytical, problem-solving, and communication skills
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
INTRODUCTION
About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We’re hiring AI & ML Engineer in Las Vegas, NV.
ROLE AND RESPONSIBILITIES
What You'll Work On
- Build AI applications using LLMs, RAG, and AI Agents
- Develop Computer Vision solutions (YOLO or similar)
- Create backend APIs with Python and FastAPI/Flask
- Support ML pipelines, MLOps, and cloud-based AI solutions
- Build scalable applications on AWS using Docker and modern development practices
BASIC QUALIFICATIONS
Required Knowledge & Skills
- Strong proficiency in Python
- Understanding of Machine Learning and Deep Learning fundamentals
- Familiarity with LLMs, Generative AI, and RAG architectures
- Basic knowledge of Computer Vision (experience with YOLO or similar frameworks is a plus)
- Understanding of FastAPI/Flask and REST API development
- Foundational knowledge of AWS, Docker, Git, and Linux
- Exposure to JavaScript/TypeScript is beneficial
- Strong analytical, problem-solving, and communication skills
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
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Get Access To All JobsTips for Finding OPT Sponsorship as a Sr Staff Machine Learning Engineer
Target companies with active H-1B ML hiring history
Search DOL LCA disclosure data for employers who have filed Labor Condition Applications for machine learning roles. Companies with consistent ML filings are already set up to sponsor OPT students and are far less likely to reject your application over visa status.
Position your STEM OPT extension as a runway, not a risk
Sr Staff roles involve long ramp-up periods. Frame your three-year STEM OPT extension as time for meaningful impact before H-1B visa sponsorship is needed. That framing shifts the conversation from immigration overhead to hiring timeline alignment.
Demonstrate end-to-end ML ownership, not just model building
Sr Staff roles require systems thinking across the full ML lifecycle. Highlight experience owning production pipelines, model governance, and cross-functional technical strategy. Generic model-training experience alone won't clear the bar at this seniority level.
Apply to large tech and AI-native companies first
Organizations like Google, Meta, Amazon, and dedicated AI labs have established immigration programs and dedicated legal teams. They can move faster on OPT authorization and H-1B sponsorship than companies sponsoring their first international hire.
Get your OPT STEM extension application in early
USCIS recommends filing your STEM OPT extension up to 90 days before your initial OPT expires. Processing delays are common. Filing late puts your work authorization at risk and can complicate an active job search at this level.
Prepare a sponsorship conversation for late-stage interviews
At Sr Staff level, hiring decisions involve legal and finance teams. Be ready to explain your OPT timeline, STEM extension eligibility, and H-1B cap-subject filing window clearly. Employers who are undecided often need factual clarity, not reassurance.
Sr Staff Machine Learning Engineer OPT: Frequently Asked Questions
Can I work as a Sr Staff Machine Learning Engineer on OPT?
Yes. F-1 students with approved OPT can work in Sr Staff Machine Learning Engineer roles as long as the job is directly related to your field of study. Most ML and computer science degrees satisfy this requirement. If you have a STEM-designated degree, you can apply for a 24-month extension beyond your initial 12 months of OPT, giving you up to three years total.
Do Sr Staff Machine Learning Engineer roles commonly offer H-1B sponsorship?
Yes, more consistently than most job categories. Sr Staff ML engineers are in high demand, and companies competing for this talent routinely sponsor H-1B petitions. Employers filing Labor Condition Applications for machine learning titles include major tech companies and AI-focused startups alike. You can browse OPT-friendly Sr Staff ML roles on Migrate Mate, which filters specifically for positions open to F-1 students.
What qualifies as a STEM-eligible degree for a Sr Staff ML Engineer role?
Degrees in computer science, electrical engineering, statistics, applied mathematics, and data science are all typically STEM-designated under ICE's STEM Designated Degree Program List. Your school's DSO can confirm whether your specific program qualifies. If it does, you can apply for the 24-month STEM OPT extension, which must be filed with USCIS before your initial OPT expires.
How does the 60-day grace period affect my job search for Sr Staff ML roles?
If your OPT employment ends, you have a 60-day grace period to find new employment, transfer your SEVIS record, or depart the United States. Sr Staff-level hiring processes often take 6 to 12 weeks, so starting your search before your current authorization ends is critical. You cannot work during the grace period, only remain in status while you search.
What should I look for to confirm a Sr Staff ML Engineer role is OPT-compatible?
The role must be full-time (or authorized part-time if your OPT is part-time authorized), directly related to your degree field, and with a company that has an EIN and meets DSS employer requirements for STEM OPT. Check that the employer is willing to sign your Form I-983 Training Plan if you are on STEM OPT extension, as that reporting obligation is mandatory and some smaller employers are unfamiliar with it.