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Senior Machine Learning Engineer

  • By Sylwia Lupa
  • 19 January 2022
  • 225 Views

Our client is the world’s largest online community, uniting students, parents and teachers in solving their academic problems and exchanging knowledge. Every month they are proud to be home for 350 million users. Besides delivering world class educational products they’re a technology company at heart. Their knowledge base consists of hundreds of millions of Q&A contents in more than 12 languages and covering a broad spectrum of educational subjects at different grades.

The AI Services department represents a major investment toward the vision of implementing an AI-powered Predictive Intervention platform. The platform will enable every student to receive tailored recommendations satisfying their current and future educational needs, and provide successful and specific learning paths.

In order to get there, they are building the fundamental pillars of their AI strategy by having dedicated teams owning different systems of their technology portfolio.

The Content Quality Systems team is responsible for providing the technical capabilities of:

  1. Learning new knowledge representations for text and media-rich contents.
  2. Enhancing and automating the content management process.
  3. Ensuring the quality and safety of their knowledge base.

You will have the opportunity to participate in building the state of the art system for text annotation and indexing, and to improve your skills in NLP, machine learning, large scale data processing and information retrieval.

The ideal candidate is an enthusiast of educational technologies with a background in digital products development and a blend of coding, machine learning, and natural language processing skills.

WHAT WILL YOU DO?

  • Research and implement novel techniques of natural language processing, computer vision, and knowledge representation.
  • Build robust pipelines for training, evaluation, and inference at scale.
  • Work closely with business stakeholders and product teams to design new features to implement or improve the functionalities and user experience of the platform.
  • Designing, developing, and maintaining code for their platform to enhance the great learning experience for their users.
  • Solving complex challenges such as performance, scalability, and security
  • Collaborating with other software engineers to design scalable services, plan feature roll-out, and ensure high reliability and performance of your deliverables.
  • Conducting code reviews, contributing high-quality documentation, and building robust test suites for your features

WHAT WILL YOU NEED TO BE SUCCESSFUL IN THIS ROLE?

Required:

  • 4+ years experience with machine learning production environments
  • Working knowledge of Python and the PyData stack or other numerical programming languages
  • Experience with parallel and distributed computing technologies (map/reduce, multiprocessing systems, GPUs)
  • Experience with NLP models in production
  • Experience with modern cloud services and serverless architectures (AWS or GCP)

Preferred:

  • Experience with Golang
  • Experience with large volume ETL jobs or data streaming
  • Experience with microservices, REST or GraphQL APIs
  • Familiarity with a complex, high-performance platform

Attributes: 

  • Ability to brainstorm and co-create new solutions, both business and technical
  • Ability to prototype and test suboptimal solutions quickly and iterate up to a final product that can be deployed in production
  • Be expected to be analytical, accurate but also creative and to come up with your own ideas and suggestions
  • Established ability to diagnose technical problems, debug  complex problems across the whole stack, and automate routine tasks
  • Team player attitude and clear communications skills
  • Familiar with agile development and lean principles
  • Ability to learn fast
  • High level of self-organization

Skills and systems

  • At least some of the data engineering technologies such as Spark, DataBricks, Glue, EMR, Docker, Kubernetes, SQL, key-value stores, Redshift, Snowflake
  • At least some of the ML technologies such as AWS SageMaker, Tensorflow Extended, PyTorch, Spark ML, scikit-learn, XGBoost, KubeFlow, Seldon, MLFlow, or related frameworks
  • At least some of the NLP libraries such as spaCy, HuggingFace, NLTK, Gensim, SparkNLP, or similar

ADDITIONAL DETAILS

  • Salary: 26 000 – 35 000 PLN gross/ monthly (depending on the seniority),
  • Some of our benefits (slightly varies depending on the location):
    • Flexible working hours
    • Personal development budget 800$ per year +  unlimited time off policy for participation in conferences and workshops and access to an online learning platform with courses from Udemy, Harvard Manage Mentor and many others
    • Fully paid private health care packages for you and your family (dental care included) provided by Luxmed
    • Fully paid life insurance provided by Warta
    • Multisport Plus card
    • Access to the Mental health Helpline – providing virtual support of external psychologists, psychotherapists, and coaches
    • AskHenry services – personal concierge services to help you to settle your everyday matters (like Ikea shopping or shoemaker visit)
    • Possibility to join one of our Employee Resource Groups and initiatives
    • If needed, additional budget for work remote work accessories

Note: Prepare your CV in English (PDF), fill in the form, and apply! 🙂
Please include in your CV the following clause necessary for the recruitment process:

“I agree to the processing of personal data that I have made available voluntarily in the recruitment process by the Administrator of personal data, i.e. Dotcommunity Spółka z ograniczoną odpowiedzialnością [Ltd.] based in Cracow, 15 Żabiniec Street, 31-215 Cracow, registered in Poland, the Cracow’s District Court – Śródmieście, XI Commercial Division of the National Court Register under number 0000468484, VAT number: 9452174499, (“Dotcommunity”) in order to carry out the recruitment process for the Senior Machine Learning Engineer on the basis of Art.6 item 1a of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)”

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