Mashgin Visa Sponsorship Jobs USA
Mashgin is an AI-powered checkout technology company known for its autonomous self-checkout systems used in airports, stadiums, and corporate cafeterias. The company sponsors H-1B visa and F-1 OPT visas, making it a viable target for international tech talent seeking sponsorship in computer vision and hardware-software roles.
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Get Access To All JobsABOUT MASHGIN
Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional.
Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more.
We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable.
Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don’t care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you’re in the right place.
Position Summary
We're looking for an engineer to join a new team building features on top of in-store camera feeds (not the kiosk's own sensors, but the store's security/overhead cameras). Today that footage mostly just sits on-site, unused. This team will build the pipeline to get value out of it, whether that means analyzing it where it lives or pulling it into the cloud, across thousands of stores each with its own network constraints and camera hardware.
You'll be an early member of the team. That means writing the capture/ingestion code, dealing with real codec and streaming decisions (what to encode in, how to transport and play back efficiently over constrained store networks), figuring out what stays on-site versus what moves to the cloud, and getting the first features hooked up. This has a lot in common with building a video player/streaming stack. We need someone who's comfortable with some ambiguity: requirements that aren't fully defined yet, tooling you may need to build yourself, and a willingness to just build the thing rather than wait for a full spec. This is a hands-on coding role first, an infrastructure-design role second.
We maintain a flat, high-impact engineering culture where every engineer who joins our team carries the title of Member of Technical Staff.
WHAT WE VALUE:
- Impact: You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.
- Simplicity: Complexity is a waste of time here—we take pride in building things that just work.
- Hard Work: Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.
- Humility: No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.
- Ruthless Prioritization: If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.
- Customer Innovation: We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.
- Efficiency: Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.
YOU WILL BE
- Writing the actual code, end to end, for a 0-to-1 pipeline: capturing feeds from in-store cameras, encoding, and getting that video where it needs to go, whether that's processed on-site or ingested and stored in the cloud, with no existing system to extend
- Making real codec and streaming-protocol decisions: encoding formats, bitrate/quality tradeoffs, adaptive streaming
- Making fast, pragmatic calls on architecture with incomplete information, and being fine revisiting them as real-world store conditions prove you wrong
- Getting the first feature or two working end-to-end (e.g. a monitoring view, or feeding footage into an early AI feature) to prove the pipeline works
- Working alongside a small, scrappy group across hardware, ML, and backend, figuring out together what "good" looks like, not inheriting a spec
- Dealing with the reality of store hardware: varying camera models, spotty or shared network connections, and physical sites you can't always control
- Doing whatever the moment calls for: debugging a flaky store network connection one day, writing a service to process or ship video the next
- Using AI coding tools to move fast: prototyping quickly, cutting through boilerplate, and iterating on architecture without getting bogged down
MINIMUM QUALIFICATIONS
- 5+ years relevant coding experience, with a track record of shipping production code yourself.
- B.S. or higher in Computer Science (or equivalent work experience)
- Strong Python, plus comfort picking up whatever language or tool the problem actually needs
- Hands-on experience with video codecs, encoding, and streaming protocols: video player, media pipeline, or streaming platform work (think the engineering behind a video player at a company like Crunchyroll, Netflix, Twitch, YouTube)
- Experience touching both sides of a pipeline, edge/device code and cloud services, rather than only one layer
- Has built something from zero before: a new service, a new team's first system, a 0-to-1 project with no existing scaffolding
- Comfortable being one of the few people who know how a piece of the system works, at least for a while
PREFERRED QUALIFICATIONS
- Startup experience, ideally on a small or newly-formed team where you wore multiple hats.
- Experience with camera or video hardware in the field (not just cloud-side video), especially dealing with inconsistent hardware or network conditions
- Comfortable working alongside ML engineers without needing to own the modeling work yourself
- Knowledge of infrastructure as code (Terraform, Ansible, etc.) and cloud environments like AWS
- Good knowledge of algorithms and data structures
- Fluent with AI coding tools (Claude Code, Cursor, etc.) as a default part of how you build and prototype
WHAT WE OFFER
- An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
- Excellent health, dental and vision insurance for you and your dependents
- 401k plan
- Flexible PTO policy
- Catered lunch in office with fully stocked snacks and beverages
- Pet insurance for your fur babies
- Voluntary life insurance plan
- Competitive salary and options in a small, rapidly scaling company
SALARY
$185,000 - $275,000 a year
For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $185,000 - $275,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Notice on fraudulent jobs
We have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by bad actors, claiming to represent Mashgin. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for "start up costs" or "equipment"), or seek to collect sensitive personal or banking information from job seekers. These job postings and offers are not authorized by Mashgin, and Mashgin is not responsible for fraudulent offers or requests for personal information or payments. Mashgin will never ask for any financial commitment or contribution from a candidate at any stage of the recruitment process. Candidates who have questions about the validity of Mashgin job postings or offers should consult the job postings on our mashgin.com career site. If you think you've been scammed, please reference this site for more information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
ABOUT MASHGIN
Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional.
Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more.
We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable.
Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don’t care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you’re in the right place.
Position Summary
We're looking for an engineer to join a new team building features on top of in-store camera feeds (not the kiosk's own sensors, but the store's security/overhead cameras). Today that footage mostly just sits on-site, unused. This team will build the pipeline to get value out of it, whether that means analyzing it where it lives or pulling it into the cloud, across thousands of stores each with its own network constraints and camera hardware.
You'll be an early member of the team. That means writing the capture/ingestion code, dealing with real codec and streaming decisions (what to encode in, how to transport and play back efficiently over constrained store networks), figuring out what stays on-site versus what moves to the cloud, and getting the first features hooked up. This has a lot in common with building a video player/streaming stack. We need someone who's comfortable with some ambiguity: requirements that aren't fully defined yet, tooling you may need to build yourself, and a willingness to just build the thing rather than wait for a full spec. This is a hands-on coding role first, an infrastructure-design role second.
We maintain a flat, high-impact engineering culture where every engineer who joins our team carries the title of Member of Technical Staff.
WHAT WE VALUE:
- Impact: You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.
- Simplicity: Complexity is a waste of time here—we take pride in building things that just work.
- Hard Work: Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.
- Humility: No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.
- Ruthless Prioritization: If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.
- Customer Innovation: We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.
- Efficiency: Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.
YOU WILL BE
- Writing the actual code, end to end, for a 0-to-1 pipeline: capturing feeds from in-store cameras, encoding, and getting that video where it needs to go, whether that's processed on-site or ingested and stored in the cloud, with no existing system to extend
- Making real codec and streaming-protocol decisions: encoding formats, bitrate/quality tradeoffs, adaptive streaming
- Making fast, pragmatic calls on architecture with incomplete information, and being fine revisiting them as real-world store conditions prove you wrong
- Getting the first feature or two working end-to-end (e.g. a monitoring view, or feeding footage into an early AI feature) to prove the pipeline works
- Working alongside a small, scrappy group across hardware, ML, and backend, figuring out together what "good" looks like, not inheriting a spec
- Dealing with the reality of store hardware: varying camera models, spotty or shared network connections, and physical sites you can't always control
- Doing whatever the moment calls for: debugging a flaky store network connection one day, writing a service to process or ship video the next
- Using AI coding tools to move fast: prototyping quickly, cutting through boilerplate, and iterating on architecture without getting bogged down
MINIMUM QUALIFICATIONS
- 5+ years relevant coding experience, with a track record of shipping production code yourself.
- B.S. or higher in Computer Science (or equivalent work experience)
- Strong Python, plus comfort picking up whatever language or tool the problem actually needs
- Hands-on experience with video codecs, encoding, and streaming protocols: video player, media pipeline, or streaming platform work (think the engineering behind a video player at a company like Crunchyroll, Netflix, Twitch, YouTube)
- Experience touching both sides of a pipeline, edge/device code and cloud services, rather than only one layer
- Has built something from zero before: a new service, a new team's first system, a 0-to-1 project with no existing scaffolding
- Comfortable being one of the few people who know how a piece of the system works, at least for a while
PREFERRED QUALIFICATIONS
- Startup experience, ideally on a small or newly-formed team where you wore multiple hats.
- Experience with camera or video hardware in the field (not just cloud-side video), especially dealing with inconsistent hardware or network conditions
- Comfortable working alongside ML engineers without needing to own the modeling work yourself
- Knowledge of infrastructure as code (Terraform, Ansible, etc.) and cloud environments like AWS
- Good knowledge of algorithms and data structures
- Fluent with AI coding tools (Claude Code, Cursor, etc.) as a default part of how you build and prototype
WHAT WE OFFER
- An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
- Excellent health, dental and vision insurance for you and your dependents
- 401k plan
- Flexible PTO policy
- Catered lunch in office with fully stocked snacks and beverages
- Pet insurance for your fur babies
- Voluntary life insurance plan
- Competitive salary and options in a small, rapidly scaling company
SALARY
$185,000 - $275,000 a year
For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $185,000 - $275,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Notice on fraudulent jobs
We have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by bad actors, claiming to represent Mashgin. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for "start up costs" or "equipment"), or seek to collect sensitive personal or banking information from job seekers. These job postings and offers are not authorized by Mashgin, and Mashgin is not responsible for fraudulent offers or requests for personal information or payments. Mashgin will never ask for any financial commitment or contribution from a candidate at any stage of the recruitment process. Candidates who have questions about the validity of Mashgin job postings or offers should consult the job postings on our mashgin.com career site. If you think you've been scammed, please reference this site for more information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Roles at Mashgin
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Get Access To All JobsTips for Finding Mashgin Visa Sponsorship Jobs USA
Target engineering and computer vision roles
Mashgin's core product relies on machine learning and computer vision. Roles in software engineering, ML infrastructure, and embedded systems are where sponsorship is most likely. Align your application materials to reflect hands-on experience in these technical areas.
Leverage F-1 OPT as your entry point
Mashgin sponsors F-1 OPT, making it accessible to recent graduates before the H-1B lottery. If you're on OPT, apply early to maximize your time on status and build a case for H-1B sponsorship in future cycles.
Understand the H-1B lottery timing
H-1B registrations open in March each year. If you're targeting Mashgin for H-1B sponsorship, aim to secure an offer well before then so the company has time to prepare your petition before the registration window closes.
Research Mashgin's product before applying
Mashgin operates in a niche but competitive space, autonomous checkout using AI and custom hardware. Demonstrating specific knowledge of their technology stack and customer verticals signals genuine interest and strengthens your candidacy for sponsored roles.
Look for roles that match your visa type
Mashgin sponsors H-1B and TN visas in addition to OPT. If you're a Canadian or Mexican national, TN may be a faster path. Use Migrate Mate to filter open roles at Mashgin by visa type and identify which positions align with your status.
Apply directly and follow up thoughtfully
As a growth-stage tech company, Mashgin has a smaller hiring team than enterprise employers. A direct, well-researched application that addresses your sponsorship needs upfront tends to move faster than generic outreach through high-volume channels.
Frequently Asked Questions
Does Mashgin sponsor H-1B visas?
Yes, Mashgin sponsors H-1B visas. The company has an active sponsorship track record for technical roles, particularly in software engineering and AI. If you're targeting an H-1B through Mashgin, securing an offer ahead of the March registration window gives you the best chance of being included in that year's lottery cycle.
What visa types does Mashgin sponsor?
Mashgin sponsors H-1B, F-1 OPT, and TN visas. F-1 OPT is often the first step for recent graduates, with H-1B sponsorship following in subsequent lottery cycles. TN visas are available to Canadian and Mexican nationals in qualifying roles. Mashgin does not have a documented Green Card sponsorship history based on available filings.
Which departments or roles at Mashgin are most likely to receive visa sponsorship?
Sponsorship at Mashgin is concentrated in technical roles, particularly software engineering, machine learning, computer vision, and hardware-software integration. These are the functions central to Mashgin's autonomous checkout product. Non-technical roles such as sales or operations are less likely to generate sponsorship filings based on typical hiring patterns at companies of this stage and type.
How do I find open visa-sponsored jobs at Mashgin?
Migrate Mate lists verified sponsoring employers including Mashgin, so you can browse open roles filtered by visa type and sponsorship history. This saves time compared to researching each employer individually. Check Migrate Mate regularly as roles at growth-stage companies like Mashgin can open and close quickly depending on funding and product cycles.
How do I approach the application process at Mashgin as an international candidate?
Be transparent about your visa status early in the process. Mashgin has experience sponsoring international candidates, so this is unlikely to disqualify you for technical roles. Tailor your application to highlight skills in AI, computer vision, or systems engineering. If you're on OPT, note your timeline clearly so the hiring team can plan around H-1B registration deadlines if needed.