Pearson Research Engineer (Machine Learning Development) in Poznan, Poland
Research Engineer (Machine Learning Development)
At Pearson , we’re committed to a world that’s always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re-examining the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.
At the Pearson Poznań office, you’ll be joining a team that’s eager to learn and help others learn too. Just in 2018, we gave 12 talks at various educational and AI conferences and meetups worldwide. We’re also supporting the local AI community by helping to organise meetups such as Women in Machine Learning & Data Science and the Poznan R Users Group PAZUR.
We are looking for aResearch Engineerto join Pearson’s AI Products and Solutions team. Our mission is to enable the development of AI-first, outcome-driven products to improve learning experiences.
The position provides the opportunity to engage in cutting-edge research in a highly-collaborative environment that feels more like a startup than a big company. You will contribute to developing products that have an impact on millions of learners around the globe.
This position requires a broad set of machine learning skills. Ideally, you should have experience working with various types of machine learning algorithms. However, we also welcome entry-level candidates who can demonstrate strong Python skills, a knack for creative problem solving, and a drive for relentless improvement.
Implementing, improving, and evaluating prototype machine learning algorithms, incl. deep neural networks
Designing, implementing, and monitoring production-level machine learning algorithms as a service
Evaluating technologies worth adapting in our workflow
Serving as a bridge between our AI team and Engineering teams
Creating and conducting internal training
Creating technical documentation, incl. patent documentation
Sharing your work results internally and externally (publications, conferences, meetups)
We work in agile teams in which members can wear many hats, so you’ll have the opportunity to work on other project aspects, e.g. designing efficient solutions for large-scale data processing, designing prototype machine learning algorithms, etc.
Proficiency in Python for data processing, esp. virtualenv, Anaconda, pip, boto3, pandas, numpy, scikit-learn, NLTK, spaCy, Airflow
Proficiency in deep learning frameworks, e.g. Keras, TensorFlow, or PyTorch
Proficiency in SQL and relational databases
Proficiency in the statistical modelling and machine learning theory
Experience with Git-based code review
Experience with Linux or Unix
Experience with best practices for software engineering
Experience with working in a diverse, remote, asynchronous team
Proficiency in written and spoken English
Proficiency in cloud data processing, preferably on AWS (S3, EC2, Athena, EMR, Glue, Lambda, SNS, SageMaker)
Experience with Natural Language Processing
Proficiency in big data processing frameworks, e.g. Spark (esp. in Scala)
Proficiency with low-level programming languages, e.g. C
Experience with GPGPU
Proficiency in R for data processing, esp. tidyverse
Experience with Docker
Experience with Jupyter Notebook
Primary Location: PL-PL-Poznan
Work Locations: PL-Poznan-77 Dabrowskiego Dąbrowskiego 77 Poznan 60-529
Job: Research and Development
Organization: Global Product
Job Type: Standard
Shift: Day Job
Job Posting: Oct 25, 2018
Job Unposting: Ongoing
Schedule: Full-time Regular
Req ID: 1814368
Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.