Senior Software Engineer, Machine Learning and Artificial Intelligence
Mashgin
Software Engineering
Palo Alto, CA, USA
Posted 6+ months ago
About Mashgin
At Mashgin, we have developed a successful and innovative point-of-sale experience that uses computer vision and AI to make checkout nearly instantaneous. Our mission is to eliminate checkout lines so people can get back to their lives.
Our kiosks are currently serving customers in thousands of locations around the world, from major sports stadiums to convenience stores, from college campuses to corporate cafeterias. We are a series B startup with 10 years of progress, and we’re already profitable. And we’re just getting started.
We value autonomy of work, a relentless obsession with customer experience (both our customers and their end-customers), and a culture of respect and fun.
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.
You Will Be
- 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
Minimum Qualifications
- 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++
Preferred Qualifications
- 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
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.