AI/ML Job: Machine Learning Engineer

Linc Global Inc

Machine Learning Engineer at Linc Global Inc

Sunnyvale, California, United States 🇺🇸   (Posted Jun 5 2018)
About the company
Linc is an AI-powered Customer Care Automation Platform that transforms one time purchasers into lifetime customers through a better than Amazon experience around tracking, returns, exchanges, and reordering. We also allow retailers to re-target and offer cross sells and upsells based on purchase history rather than browser history. We make this available to e-retailer or brand client via a number of channels including; web, email, text, and the emerging channels of Facebook Messenger and Voice. The end result is higher shopper retention rates and a higher lifetime value with those clients.

As a fast growing startup, Linc has delighted tens millions of shoppers, and customer list includes world-class brands like Carter’s, P&G, Crocs, GoPro, Hugo Boss, eBags, and L’Oreal.

Job position
Permanent

Job description
Join us in building the best ecommerce SaaS platform to revolutionize how retailers and brand engage with shoppers for post-purchase activities and more. Linc is looking for a machine learning developer who is passionate about applying ML techniques from natural language understanding, dialog system, recommendation system, knowledge extraction to deep learning. We offer a fun, dynamic and result-driven environment. If scale and complexity in a high growth startup excite you, Linc is the right place to be.

Responsibility:

Works on one or more technical areas of applications of Natural Language Understanding, Dialog system, Statistical NLP, Contextual Understanding, Probabilistic Inferencing/Reasoning, Product Recommendation

Develops and demonstrates viability of novel solution in the context of Linc’s platform and data to deliver business results as well as best of breed user experience.

Be a part of an engineering team with total responsibility of both algorithms, systems and production scaling and support – full soup to nuts ownership and empowerment!

Skills & requirements
Key Qualifications:

3-7 years with at least 2 years in Machine Learning, Statistics and NLP related fields

MS or PhD program in Computer Science, Mathematics or a related field with demonstrated academic excellence

3+ years of programming experience, proficiency in Python and at least one of the objective oriented languages such as Java/C++/Go/Scala

2+ years of hands-on cloud platform experience: AWS or Azure

Strong knowledge in general software design, data structures, and relational database

Strong written and oral communication skills

Strong analytical skills, data driven mindset

Desired:

Previous experience working in a start-up environment

Experience with Ecommerce space, knowledge of product taxonomy building

Experience with NLP toolkits such as NLTK, OpenNLP, Stanford CoreNLP etc.

Experience with open source machine learning toolkits: TensorFlow, CNTK, scikit-learn, pandas, numpy, libsvm, Keras

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

Retina Data Scientist - Retina   (May 2019)
Santa Monica, California, United States
As a Data Scientist, you will be working closely with internal data science, product and our engineering team to build scalable data products. You will be creating algorithms that analyze customer data to compute Customer Lifetime Value using (but not limited ...
integrate.ai Machine Learning Scientist - integrate.ai   (May 2019)
Toronto, Canada
We are looking for a Machine Learning Scientist to join our client team. This role will be working to develop statistical and machine learning models to power our AI platform and making traditional businesses customer centric using artificial intelligence. Thi...
Blue Apron Machine Learning Engineer - Blue Apron   (May 2019)
New York, New York, United States
Our Technology team is a collection of over 50 talented engineers, analysts, designers, and product managers who have built our web and e-commerce applications, our mobile (iOS and Android) apps, our proprietary Warehouse Management System, and our data platfo...
 
About Jobhunt.ai