AI/ML Job: Software Engineer, Machine Learning and Artificial Intelligence

Mashgin

Software Engineer, Machine Learning and Artificial Intelligence at Mashgin

Mountain View, California, United States 🇺🇸   (Posted Jun 5 2018)
About the company
At Mashgin, we’ve built a self-checkout kiosk that uses computer vision to scan multiple items without barcodes, reducing checkout time by 10x. We’re completely recreating the checkout experience in an industry that’s had little innovation in decades.

After going through Y Combinator in 2015, Mashgin has raised $10M+ from investors like Matrix Partners, KPCB, Venrock and more. We just raised our Series A round and are ready to scale.

Job position
Permanent

Job description
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'LL 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.

Skills & requirements
MINIMUM QUALIFICATIONS

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

M.S./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.

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via https://Jobhunt.ai
(Companies love to know recruiting strategies that work)
 

Other jobs that might be interesting

Predina Tech Limited Machine Learning Researcher/ Data Scientist - Predina Tech Limited   (February 2019)
London, United Kingdom
***Core responsibilities:*** - Adapt and apply latest development from research to improve the accuracy and granularity of our existing models. - Identify and apply new and novel datasets to improve the accuracy of existing models and perform predictions at ...
Machine Learning Engineer - Scale   (January 2019)
San Francisco, California, United States
Create optimized and efficient tooling, like Guided Automatic Segmentation, for taskers to complete complex tasks with speed and accuracy. Reliably evaluate data quality at scale. Intelligently route tasks from customers to specialized taskers for low turnar...
Software Engineer - Machine Learning Infrastructure - Formant   (January 2019)
San Francisco, California, United States
Formant is building cloud infrastructure to support the next generation of automation - autonomous tractors, warehousing robots, security robots, and delivery drones. We’re looking for a software engineer with a focus on machine learning infrastructure to j...
 
About Jobhunt.ai