S'INSCRIRE
Retour aux emplois
XX
Senior Software Engineer, Machine Learning and Artificial IntelligenceMashgin • Palo Alto, California, United States
Postuler Maintenant
XX

Senior Software Engineer, Machine Learning and Artificial Intelligence

Mashgin
  • US
    Palo Alto, California, United States
  • US
    Palo Alto, California, United States
Postuler Maintenant

À propos

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 $200,000 - $300,000 a year
For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $200,000 - $300,000 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.
#J-18808-Ljbffr
  • Palo Alto, California, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.

Postuler Maintenant