Develop and implement computer vision algorithms, create data collection methods for deep learning, and enhance existing algorithms within a dynamic team setting.
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
Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves “This could be done with computer vision!” and who loves experimenting with new algorithms. You’ll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers.
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
- Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
- Coming up with large scale data collection techniques for training Deep Neural Nets
- Driving the development of new algorithms that dramatically improve our existing methods
- Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
- Coding full-stack building products from end to end
Minimum Qualifications
- 8+ years relevant coding experience
- Masters degree in Computer Science or related field
- Strong background in Computer Vision
- Exposure to new Deep Learning techniques for image recognition
Preferred Qualifications
- MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
- Experience with Python or C/C++ in a Linux environment
- Knowledge and experience in application of Deep Learning to Computer Vision problems
- Real-world experience building Computer Vision systems
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
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.
Top Skills
C/C++
Computer Vision
Deep Learning
Machine Learning
Python
Mashgin Palo Alto, California, USA Office
849 E Charleston Rd, Palo Alto, CA, United States, 94303
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead the strategy and engineering for enterprise authentication and external identity management, ensuring secure access through various platforms and technologies.
Top Skills:
Microsoft Entra IdOauth2Openid ConnectPing IdentitySAML
3 Hours Ago
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead the strategy, engineering, and management of enterprise privileged access and non-human identity security platforms within a global IAM organization, driving adoption and governance of PAM and NHI capabilities across various environments.
Top Skills:
Automation FrameworksCyberarkDevOpsIdentity SecurityMicrosoft Entra IdPrivileged Access ManagementSecrets ManagementZero Trust
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Senior Manager - IAM Product Lead oversees strategy, engineering, and management of enterprise directory and machine identity platforms, enhancing identity security and governance.
Top Skills:
Active DirectoryCloud Identity ServicesInfrastructure As CodeMicrosoft Entra IdVenafi
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
