Senior Software Engineer, Machine Learning and Artificial Intelligence

United States·Palo AltoFull-timesenior

Data ScienceOtherSoftware EngineerSoftware EngineeringMachine LearningArtificial IntelligenceData & AI

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Quick Summary

Overview

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.

Technical Tools

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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 smart, driven engineer who’s fascinated by the latest developments in ML/AI and is looking for the best areas to apply them. You’ll work on a small dynamic team to design and implement state of the art deep learning techniques for Mashgin products. We have the unique opportunity to gather large, proprietary datasets from multiple industries where critical real-world problems have been identified. It will be you and your team’s job to turn this data into automated solutions.

We maintain a flat, high-impact engineering culture where every engineer who joins our team carries the title of Member of Technical Staff.

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.

Developing solutions for real-world computer vision problems

Working with the product team to come up with innovative ways to collect large data sets for training AI systems or generating equivalent synthetic data

Finding the optimal balance between doing longer term research and applying research results to production code

Researching and building state-of-the-art ML/CV algorithms to analyze 2D/3D image data

8+ years relevant coding experience

B.S. or higher in Computer Science or related field

Strong background in Machine Learning or Computer Vision

Excellent knowledge of either Python or C/C++

MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field

Strong understanding of ML techniques such as CNNs, supervised and unsupervised learning, optimization techniques, etc

Experience with one or more of popular Deep Learning frameworks such as Caffe, TensorFlow, Theano

Experience in a fast-paced work environment, shipping quality code quickly and iterating

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.