Machine Learning Engineer (EU Candidates)

LOCATION: BIAŁYSTOK, GDANSK, KATOWICE, LODZ, PILA, POZNAN, REMOTE, RZESZÓW, WROCLAW - ONGOING Machine Learning Engineer (EU Candidates) Hi there! We are the biggest European Python Powerhouse w


Machine Learning Engineer (EU Candidates)

Hi there!

We are the biggest European Python Powerhouse with over 17 years of experience, 8 offices in Poland and deep commitment to Agile principles. Join a group of 500+ professionals dedicated to helping customers build outstanding products.

Are you the NEXT one?

“The data revolution has enabled us to create software solutions which mimic our intelligence behavior. I always wanted to be part of it by building data and artificial intelligence products. For my team I’m looking for those who are not afraid of challenges and want to solve difficult problems which eventually help people with use data engineering and machine learning. “

– dr Krzysztof Sopyła – Head of Machine Learning and Data Engineering


up 20 160 zł + VAT

up to 28 560 zł + VAT

What do we need from you?

Core values

We believe that every problem has a solution, often hidden and not so obvious. Our job is to work out them and the best are born from imagination, cooperation and being craftsmanship.

How do we work?

We work with clients for their benefit and the benefit of their target users. We often act as consultants and architects, people who tear down the existing order, introducing changes and innovations. But just as often we act as craftsmen who must deliver software of the highest quality.

How the daily work will look like?

You will be assigned to a team working on a project for one of our foreign clients. Your responsibilities will include developing, inventing and implementing solutions to process large or distributed data.

What is expected of you?

The role of a Machine Learning Engineer has many variations, we are not looking for someone who is good at everything, but people with in-depth knowledge of a particular domain of NLP, Computer Vision or Recommender systems. What is important to us is the foundation and basic understanding of the problems and ideas behind ML.We use ML methods in practice so we also value the ability to implement models in the form of API or integration with the client’s system.

We expect knowledge of:

  • strong fundamentals of machine learning:
    • types of ml problems: classification, regression, clustering, etc
    • common evaluation measures: precision, recall, F1, IoU, ROUGE etc
    • scikit-learn models (random forest, SVM, xgboost), ensemble models etc.
    • understanding dimension reduction techniques (PCA, TSNE, Umap)
  • data preparation and visualization libraries (pandas, matplotlib etc.)
  • knowledge of current neural networks architectures (RNN, CNN, Transformers) and methods (transfer learning)
  • documented experience with one of library: PyTorch or Tensorflow
  • good knowledge of relational databases and experience with one of : PostgreSQL, MySQL, MS SQL, Oracle

Depending on your role and experience

  • For NLP engineer
    • knowledge of modern word/sentence/document embedding methods (Word2Vec, BERT, Doc2Vec, Laser, etc.)
    • knowledge of a classic bag of words approach (TF-IDF),
    • experience with NLP libraries as: Hugging Face Transformers, Zalando Flair, NLTK,
    • has documented experience with working with one of the problems: named-entity recognition, text summarization, topic modeling, tagging the parts of speech, text semantic similarity, neural search
  • For CV engineer
    • practical knowledge of OpenCV or related library
    • knowledge of algoritmic (traditional) CV techniques like: Edge Detection, image features (Haar, HoG, SIFT, SURF etc)
    • experience with implementing Convolutional NN or other image related neural architecture in Pytorch or Tensorflow,
    • has documented experience with working with one of the problems: object classification, object tracking and detection, semantic segmentation, Pose Estimation,
  • For Recommender Systems engineer:
    • has knowledge and experience with Collaborative filtering or Content-based filtering algorithms
    • has knowledge about recomendation measures: MAP, MAP@K etc
    • understanding od different similarity measures like: cosine similary, metric based similarity,
    • has documented experience with working on project using recommendation engine
    • has experience in one of library for efficient similarity search and clustering of dense vectors like: FAISS, Google Scan etc

Python and software development practices:

  • experience in Python 3.x
    • more advanced python constructs as: lambda functions, generators, list comprehension etc
    • core principles of object-oriented programming
    • understanding of the threading and multi-process computation in Pyhon
  • experience in using code versioning tools, such as Git
  • day-to-day work experience with Docker

Soft skills:

  • good communication skills in English (minimum B2)
  • problem solving and analytical thinking
  • be nice and friendly

Your experience rating will also be affected by your other skills such as:

  • knowledge of at least one cloud platform (AWS, Azure, GCP) and its solutions related to data processing
  • background in at least one NoSQL database like HBase, DynamoDB, MongoDB, Cassandra
  • data scraping experience
  • experience in search systems like Elasticsearch, Jina AI etc.
  • experience in data engineering tools
  • other development skills like REST API or frontend skills



Conferences, books, online or offline courses

Use your annual training budget and decide on the direction of your professional development. STX Next covers 75% costs of training, conferences and language course.

Work-life balance

We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.

Monthly party budget

They say that little party with your colleagues is always a good idea 🙂

Reimbursed private medical care (Medicover) and Multisport

We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.

Bring your own device option

You only enjoy working on your own computer? No problem, just bring it into our office and get a financial equipment bonus.

Internal referral program

Want to help us to expand our team of superheroes? Recommend a friend to STX Next and get a bonus.

Leader’s support

Conferences’, internal trainings’ and permanent meetups’ speakers – join the STX Next crew and work with true enthusiasts and professionals!

Technology focus

Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, DevOps and Blockchain.

Growth review

Junior, Regular or Senior? Every half a year we have a chance to discuss acquired skills and prepare a development plan for upcoming months .


Craft Thursdays, Friday movie marathons, and board games – join local events in your office.


Recruitment process


Are you interested in our offer? Feel free to apply by attaching your CV and we will contact you within 24 hours.

Let’s get to know each other

A f2f or Hangouts meeting- these are the options we will offer after verifying your application. If there are additional questions from our side, we will arrange for a short phone call before the meeting. The meeting will last no more than 1-1.5h.

Show us what you can do

Technical verification is a good time to show your superpowers! Technical interview is a meeting based on tasks, a case study and practical and theoretical questions. The meeting will last approx. 2h.

Time for a decision

We value your time and commitment- regardless of the outcome of the recruitment process, we will return to you with a decision and extensive feedback. Upon completion of the recruitment, we will also be happy to know your feedback about our recruitment process.


Learn more about Development

Create web, IoT and mobile solutions based on Python, JavaScript, React Native, machine learning or Golang.



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