RESEARCH ENGINEER

On-siteSeniorML Engineerposted 134mo ago

✦Role summaryAI-generated

This role requires building and optimizing high-scale recommendation systems at petabyte scale, leveraging distributed architectures like Hadoop and Cassandra to serve billions of real-time suggestions daily. The engineer will collaborate closely with data science teams to refine personalized algorithms while ensuring fault-tolerant, low-latency performance across massive user bases.

Skills required

Scala Java Hadoop Cassandra Scalding Big-data Recommendation algorithms Petabyte-scale data processing Real-time systems Distributed computing Recommendation systems Data science Data infrastructure Machine learning Natural language processing Bayesian statistics

About this role

RESEARCH ENGINEER

Visa Candidates Welcome

Job Description

We are looking to hire a rock star Research Engineer who can help build the future of personalized recommendations. You will be part of a combined data science/engineering team, which is responsible for all merchandising and personalisation algorithms for our marketplaces. You will have a chance to tackle some of the most demanding algorithmic problems,building recommendations engines that serve around a billion recommendations to 100M users per day.We are using state of the art Big Data infrastructures like hadoop (through cascading and Scalding) and Cassandra, and employ both Java and Scala to build our scalable real-time platform.We currently employ one of the largest hadoop clusters in the industry, containing thousands of nodes and tens of thousands of processing cores. All this computing power is used to analyze over 30 Petabytes of data in order to gain better insight on how to best serve users.While we stand firmly on theoretical and mathematical roots, we see great value real world, creative and pragmatic solutions.

Job Requirements

· Research and implement machine learning models for prediction, personalization and recommendation

· Drive analysis and insights to the impact of newly developed features

· Engineer and build large scale data crunching processes

· Collaborate with database architects, other software engineers, QA and operations teams to deliver real time distributed recommendation serving platforms

Education Bachelors Degree or Equivalent

CANDIDATE DETAILS

5+ to 7 years experience

Minimum Education - Bachelor's Degree

IDEAL CANDIDATE

Strong background in BOTH Data Science (NLP, ML, Bayesian, etc) and Engineering. Ability to both create/develop an algorithm AND deploy it.