CPT AI ML Platform Jobs
AI ML Platform CPT jobs place F-1 students inside the teams building the infrastructure that powers machine learning systems, model registries, feature stores, training pipelines, and deployment tooling. Your DSO must authorize CPT before you start, and the role must connect directly to your enrolled degree program, typically computer science, data science, or a related engineering field.
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Work at Blissway: Opportunity for Impact Every Day đâ¨
Blissway is a startup that simplifies toll collection and dramatically improves highway safety. We are multiple startups in one: Deep Tech, AI/ML, Hardware, SaaS, and IoT. For the past five years, we have built a nearly insurmountable technological lead in tolling, an industry that is quietly bigger than football. While our competitors have thousands of employees, we operate with a lean but growing team of less than 30. Weâve stayed under the radar, but our impact is visible on the massive Interstate Highway System connecting every major US metro (except Juneau, AKâsorry, Juneau).
You are a good fit if...
- You love the grind: You take ownership and put in the time to meet deadlines. Our recent team survey showed an average of 55 hours/week, with occasional 70+ hour bursts for major releases.
- You are detail obsessed: You have experience writing code that stands up to the unpredictability of the physical world, where the small details are the difference between success and failure.
- You are adaptable: We are a lean team. If you only want to work on a "niche thing" or are uncomfortable helping other teams when they need a boost, this isn't the place for you. We expect you to figure out what you need to get stuff done.
- You code really well: We mostly use Python and TypeScript, but we donât care what youâre most proficient in todayâas long as you learn fast.
ROLE
Machine Learning Engineer
The Mission: You are the engineer who ships the model, not just the one who trains it. At Blissway, we process 11 million images every single day, running detection, segmentation, classification, embeddings, and re-identification across everything in the cameraâs frame. You will own the full arc: raw sensor data to production inference, dataset curation to deployment monitoring, cloud to edge. This role is for the engineer who sees a model sitting in a notebook and feels the itch to put it to the test, or in this case, on the road.
The Work
- Own the Whole Pipeline: You decide which problems are worth solving, then take them from raw sensor data all the way to production: collection, dataset curation, training, deployment, monitoring, and iteration. We wire it all together and run our own servers, so the pipeline is yours end to end.
- Real Hardware in the Real World: This is the part that makes us special. We own the devices in the field. This means any idea you have can actually get built and tested on real roads.
- Vision at Real Scale: We process 11 million images every single day, running detection, segmentation, classification, embeddings, and re-identification across everything in the frame: vehicles, license plates, wheels, even lane markings. Beyond images, we have multiple other sensors on the road pulling in different data making the problem space wide open. At this volume, the right model can drastically improve accuracy and cut cost at the same time.
- Classical CV to Custom SOTA: Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained state-of-the-art models (detection, segmentation, embeddings, classifiers). You pick the right tool, and when nothing off-the-shelf is good enough, you train your own.
- Build the Best Models That Exist: We read the papers, go to the conferences, and hold our work to the current frontier. ML has become essential to Blissway over the past year, and this team is where that bet gets made real.
- Edge and Cloud: Most of our compute lives in the cloud where power is effectively unlimited. We're now pushing more inference onto the roadside hardware itself, a completely different problem: the models have to be fast, small, and power-efficient without giving up accuracy. You'll work both sides of that constraint.
BASIC QUALIFICATIONS
- Experience: 2 to 6 years of software engineering with a focus on machine learning and/or computer vision. We want someone with true end-to-end experience: you've taken models from raw data to production and owned what happens after they ship.
- Both Sides: Strong software engineering fundamentals plus hands-on ML. You write production-quality code and you train and debug models. The two overlap, and we want someone comfortable across both.
- Full Lifecycle: You've owned models beyond the notebook: trained, deployed, monitored, and iterated in production.
- Real CV depth: Experience with modern computer vision and the judgment to know when a classical technique beats a heavy model. You're not reaching for a transformer when a filter will do.
HOW WE WORK
We're a small team, which means a more deliberate interview process than you might be used to. In exchange, you get real autonomy from day one, direct access to the people setting technical direction, and work that ships to real roads in weeks, not quarters.
The Process:
We hire software engineers in cohorts. Rather than evaluate candidates on a rolling basis, we collect applications over a two-week window and assess everyone together. This allows us to make fair, considered comparisons and move the strongest candidates through the process efficiently and fairly. The process has five stages:
1. Application Review: We (a human) read every application carefully at the close of the approximately two-week window.
2. Ezra: A brief AI-assisted screening to make sure we're a mutual fit before investing more of your time. Think of this as a way to augment your application.
3. Screening Interview: A focused conversation to understand your background and motivations.
4. Technical Interview: A deeper evaluation of your skills and how you think through problems.
5. Experience Interview: A conversation about how you've worked and what you've built.
6. Final In-Person: A chance to meet the team and see the work environment firsthand. We'll be in touch at the close of the application window with next steps.
THE ESSENTIALS (Health & Wealth)
- Relocation Support: We are excited for you to join the team at our engineering office in Denver. We value in-person collaboration and daily team lunches and we provide a relocation bonus to help you get here.
- Personalized Health Coverage (ICHRA): We donât believe in one-size-fits-all healthcare. We provide a monthly allowance for you and dependents so you can choose the individual plan that actually fits your life.
- Investing in Your Future: 401(k) matching up to 4%.
- Peace of Mind: Transparent compensation. Company-sponsored life & disability insurance.
- Early Stage Equity: Competitive equity package with 24-month exercise window. Every year, we facilitate a tender process that gives you the opportunity to sell your vested shares at the same valuation as our investors.
REST & RECHARGE đ´
- High-Trust Time Off: 4 weeks of untracked PTO. We don't micromanage your calendar; we focus on your impact. Take the time you need to stay sharp and inspired.
- Family First: 12 weeks of paid parental leave for birth and adoptive parents. We want you present for the moments that matter most.
- The Deep Breath (Sabbatical): Every 5 years, take 12 weeks of fully paid leave. Go travel, write a book, or master a new hobbyâthen come back and tell us all about it.
FUEL & COMMUNITY đ
- The Blissway Kitchen: Whether itâs breakfast to start your day or our daily group lunches, we keep the team fueled.
- Snacks Autonomy: Our kitchen is fully stocked and we mean itâif weâre missing your favorite fuel, just add it to the request list.
- The "BlissTrip": An annual 3â4 day getaway for the team and significant others.
- Monthly Beats: Game nights, escape rooms, and dinners to celebrate the grit we put in.
- Continuous Learning: Tuition reimbursement for courses, programs, and conferences that sharpen your craft.
COMPENSATION RANGE
- Compensation Range: $145K - $195K
INTRODUCTION
Work at Blissway: Opportunity for Impact Every Day đâ¨
Blissway is a startup that simplifies toll collection and dramatically improves highway safety. We are multiple startups in one: Deep Tech, AI/ML, Hardware, SaaS, and IoT. For the past five years, we have built a nearly insurmountable technological lead in tolling, an industry that is quietly bigger than football. While our competitors have thousands of employees, we operate with a lean but growing team of less than 30. Weâve stayed under the radar, but our impact is visible on the massive Interstate Highway System connecting every major US metro (except Juneau, AKâsorry, Juneau).
You are a good fit if...
- You love the grind: You take ownership and put in the time to meet deadlines. Our recent team survey showed an average of 55 hours/week, with occasional 70+ hour bursts for major releases.
- You are detail obsessed: You have experience writing code that stands up to the unpredictability of the physical world, where the small details are the difference between success and failure.
- You are adaptable: We are a lean team. If you only want to work on a "niche thing" or are uncomfortable helping other teams when they need a boost, this isn't the place for you. We expect you to figure out what you need to get stuff done.
- You code really well: We mostly use Python and TypeScript, but we donât care what youâre most proficient in todayâas long as you learn fast.
ROLE
Machine Learning Engineer
The Mission: You are the engineer who ships the model, not just the one who trains it. At Blissway, we process 11 million images every single day, running detection, segmentation, classification, embeddings, and re-identification across everything in the cameraâs frame. You will own the full arc: raw sensor data to production inference, dataset curation to deployment monitoring, cloud to edge. This role is for the engineer who sees a model sitting in a notebook and feels the itch to put it to the test, or in this case, on the road.
The Work
- Own the Whole Pipeline: You decide which problems are worth solving, then take them from raw sensor data all the way to production: collection, dataset curation, training, deployment, monitoring, and iteration. We wire it all together and run our own servers, so the pipeline is yours end to end.
- Real Hardware in the Real World: This is the part that makes us special. We own the devices in the field. This means any idea you have can actually get built and tested on real roads.
- Vision at Real Scale: We process 11 million images every single day, running detection, segmentation, classification, embeddings, and re-identification across everything in the frame: vehicles, license plates, wheels, even lane markings. Beyond images, we have multiple other sensors on the road pulling in different data making the problem space wide open. At this volume, the right model can drastically improve accuracy and cut cost at the same time.
- Classical CV to Custom SOTA: Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained state-of-the-art models (detection, segmentation, embeddings, classifiers). You pick the right tool, and when nothing off-the-shelf is good enough, you train your own.
- Build the Best Models That Exist: We read the papers, go to the conferences, and hold our work to the current frontier. ML has become essential to Blissway over the past year, and this team is where that bet gets made real.
- Edge and Cloud: Most of our compute lives in the cloud where power is effectively unlimited. We're now pushing more inference onto the roadside hardware itself, a completely different problem: the models have to be fast, small, and power-efficient without giving up accuracy. You'll work both sides of that constraint.
BASIC QUALIFICATIONS
- Experience: 2 to 6 years of software engineering with a focus on machine learning and/or computer vision. We want someone with true end-to-end experience: you've taken models from raw data to production and owned what happens after they ship.
- Both Sides: Strong software engineering fundamentals plus hands-on ML. You write production-quality code and you train and debug models. The two overlap, and we want someone comfortable across both.
- Full Lifecycle: You've owned models beyond the notebook: trained, deployed, monitored, and iterated in production.
- Real CV depth: Experience with modern computer vision and the judgment to know when a classical technique beats a heavy model. You're not reaching for a transformer when a filter will do.
HOW WE WORK
We're a small team, which means a more deliberate interview process than you might be used to. In exchange, you get real autonomy from day one, direct access to the people setting technical direction, and work that ships to real roads in weeks, not quarters.
The Process:
We hire software engineers in cohorts. Rather than evaluate candidates on a rolling basis, we collect applications over a two-week window and assess everyone together. This allows us to make fair, considered comparisons and move the strongest candidates through the process efficiently and fairly. The process has five stages:
1. Application Review: We (a human) read every application carefully at the close of the approximately two-week window.
2. Ezra: A brief AI-assisted screening to make sure we're a mutual fit before investing more of your time. Think of this as a way to augment your application.
3. Screening Interview: A focused conversation to understand your background and motivations.
4. Technical Interview: A deeper evaluation of your skills and how you think through problems.
5. Experience Interview: A conversation about how you've worked and what you've built.
6. Final In-Person: A chance to meet the team and see the work environment firsthand. We'll be in touch at the close of the application window with next steps.
THE ESSENTIALS (Health & Wealth)
- Relocation Support: We are excited for you to join the team at our engineering office in Denver. We value in-person collaboration and daily team lunches and we provide a relocation bonus to help you get here.
- Personalized Health Coverage (ICHRA): We donât believe in one-size-fits-all healthcare. We provide a monthly allowance for you and dependents so you can choose the individual plan that actually fits your life.
- Investing in Your Future: 401(k) matching up to 4%.
- Peace of Mind: Transparent compensation. Company-sponsored life & disability insurance.
- Early Stage Equity: Competitive equity package with 24-month exercise window. Every year, we facilitate a tender process that gives you the opportunity to sell your vested shares at the same valuation as our investors.
REST & RECHARGE đ´
- High-Trust Time Off: 4 weeks of untracked PTO. We don't micromanage your calendar; we focus on your impact. Take the time you need to stay sharp and inspired.
- Family First: 12 weeks of paid parental leave for birth and adoptive parents. We want you present for the moments that matter most.
- The Deep Breath (Sabbatical): Every 5 years, take 12 weeks of fully paid leave. Go travel, write a book, or master a new hobbyâthen come back and tell us all about it.
FUEL & COMMUNITY đ
- The Blissway Kitchen: Whether itâs breakfast to start your day or our daily group lunches, we keep the team fueled.
- Snacks Autonomy: Our kitchen is fully stocked and we mean itâif weâre missing your favorite fuel, just add it to the request list.
- The "BlissTrip": An annual 3â4 day getaway for the team and significant others.
- Monthly Beats: Game nights, escape rooms, and dinners to celebrate the grit we put in.
- Continuous Learning: Tuition reimbursement for courses, programs, and conferences that sharpen your craft.
COMPENSATION RANGE
- Compensation Range: $145K - $195K
See all CPT AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new CPT AI ML Platform Jobs.
Get Access To All JobsAI ML Platform CPT: Frequently Asked Questions
Does an AI ML Platform CPT role need to match my exact degree program?
Yes. CPT requires the work to be an integral part of your enrolled curriculum, which means your degree program must have a direct academic connection to the role. A computer science or data science student working on training pipelines or model deployment infrastructure typically satisfies this requirement. Your DSO makes the final determination, so bring a copy of the job description to your authorization appointment.
Can I do part-time CPT for an AI ML Platform role while taking classes?
Part-time CPT, defined by USCIS as fewer than 20 hours per week, doesn't count against your OPT eligibility, so it's often the safer option if you're still enrolled full-time. Many AI ML Platform teams offer structured part-time arrangements for student hires working on feature store or pipeline tooling. Confirm the exact weekly hours in your offer letter before submitting your CPT authorization request.
What happens to my CPT authorization if the employer changes my role responsibilities?
If your day-to-day work shifts significantly, for example from model deployment to general backend engineering, your existing CPT authorization may no longer cover the new duties. You'd need a revised job description and a new CPT authorization from your DSO. Get any material changes to your responsibilities in writing from your employer and report them to your DSO promptly.
How do I find AI ML Platform employers who have experience hiring F-1 CPT students?
Migrate Mate lets you filter AI ML Platform roles by employers with a track record of hiring international students, which shortens your search significantly. Employers already enrolled in E-Verify and familiar with CPT documentation requirements can typically onboard you faster and with less friction than those encountering the process for the first time.
Does full-time CPT affect my OPT eligibility after graduation?
Under USCIS rules, 12 months or more of full-time CPT eliminates your OPT eligibility entirely. Part-time CPT, regardless of total duration, has no impact on OPT. If your AI ML Platform role is full-time and expected to run across multiple semesters, track your cumulative CPT days carefully and discuss the long-term trade-offs with your DSO before accepting.