What it’s like to be a Machine Learning Engineer at STX Next
As a Machine Learning Engineer at STX Next, you’ll be empowered to apply your unique strengths within specific domains like Natural Language Processing, Computer Vision, or Recommender Systems. We’re not after experts in everything, but individuals with a deep understanding of machine learning principles who are driven by the ideas shaping the field. Here, theory meets practice as you’ll not only design models but also implement them as APIs and integrate them seamlessly into client systems.
At STX Next, we believe every challenge holds the potential for innovation. By blending imagination, collaboration, and craftsmanship, we work to uncover solutions—even when they’re not immediately visible. Our goal is to create meaningful impact with every project. We work side-by-side with our clients as both consultants and architects, introducing bold ideas and reshaping conventions to serve their needs and enhance end-user experiences. Whether we’re bringing fresh ideas or ensuring software quality, our focus is on delivering reliable, high-value solutions.
responsibilities :
Identifying research goals and conducting literature reviews.
Formulating hypotheses and collecting data.
Conducting data analysis, experimentation, and testing.
Collaborating with cross-functional teams to integrate machine learning models into production environments.
requirements-expected :
Understanding of key machine learning problem types (e.g., classification, regression, clustering).
Familiarity with common evaluation metrics (e.g., precision, recall, F1, IoU, ROUGE).
Experience with popular models and algorithms (e.g., random forests, SVMs, XGBoost, ensemble methods).
Knowledge of dimensionality reduction techniques (e.g., PCA, t-SNE, UMAP).
Proficiency in data preparation and visualization libraries (e.g., pandas, matplotlib).
Familiarity with current neural network architectures (e.g., RNNs, CNNs, Transformers) and methods (e.g., transfer learning).
Documented experience with at least one major machine learning library (e.g., PyTorch, TensorFlow).
Strong understanding of relational databases and hands-on experience with one of the following: PostgreSQL, MySQL, MS SQL, or Oracle.
Proficiency in Python, the primary language used in our ML projects.
Excellent communication skills in English (minimum B2).
A proactive attitude towards problem-solving and analytical thinking.
A friendly and collaborative approach to teamwork—being nice goes a long way!
offered :
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
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
Leader’s support: Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday
Technology focus: Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain
Growth review: Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months
Events: Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!
Workation: Team trips where you have a chance as a team not only to work together, but also integrate f2f
benefits :
sharing the costs of sports activities
private medical care
life insurance
remote work opportunities
flexible working time
corporate products and services at discounted prices
