Senior Machine Learning Engineer, NLP (Liverpool)

Compensation

: $29,070.00 - $41,960.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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This role is part of the Whisk team within the Samsung NEXT Product organization.
Whisk has built a multi-sided marketplace over the past 7 years that delivers value to each member of the network such as Publishers, Retailers, IOT & Health, and Brands. Whisk also has a consumer experience, my.whisk.com for shopping lists, saved recipes, and other potential experiences. Whisk joined Samsung NEXT in March and there are plans to invest more heavily in the platform, to scale the business and grow each aspect of the network (publisher, retailer, IoT, Health, Brands, & B2C). Each investment should not only add value to its own experience but also to the network of partners overall.
About NEXT Product
The NEXT Product organization is a hyper-growth startup within Samsung NEXT. Were a globally distributed product development team in search of builders and creators to help conceive, grow and scale new products and categories.
Successful candidates, at all levels within the organization, will: approach all things team-first, take ownership and be the change you seek, have strong written and verbal communication skills, have high EQ, enjoy fast-paced, outcome-driven environments and be inspired to learn and explore daily both inside and outside of your field of expertise.
The Role
As a Senior Machine Learning Engineer, you will build ML-based systems, tools, and services to improve Whisks Food Genome ( and to produce highly relevant and personalized recommendations. We are looking for a candidate that has industry experience with a range of Machine Learning disciplines (NLP) and has worked with large data sets, specifically understanding and representing semantics. Experience with the food industry is a plus. This position is located in our New York office.
Responsibilities
Work closely with our Data team to extend and improve our Food Genome by applying NLP based methods to this complex domain.
Build models to generate food recommendations and personalized offering based on user behavior
Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models.
Lead a team in individual project priorities, deadlines and deliverables.
Required Qualifications
MS degree in Computer Science or a related quantitative field
5+ years of experience in one or more of the following areas: machine learning (NLP), recommendation systems
Experience with machine learning frameworks such as TensorFlow or Keras
Experience working in an Agile environment and within a distributed team
Bonus Points
Ph.D. degree in Computer Science or a related quantitative field
Research experience in Natural Language Processing or Deep Learning.
About Samsung NEXT
We partner with and build software alongside innovators to develop ideas into products, grow products into businesses and scale businesses globally.
Founded in 2012, Samsung NEXT has four key functions in the global software ecosystem:
Product - Building new software and services businesses, at scale.
Venture - Investing in early-stage startups to help entrepreneurs build and scale their businesses.
Partnerships - Helping startups successfully partner with the variety of businesses within Samsung.
M&A - Acquiring startups to connect and scale with our businesses.
Samsung is an EEO (Equal Employment Opportunity)/Veterans/Disabled/LGBTQ employer. We welcome and encourage diversity as we strive to create an inclusive workplace. * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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