Machine Learning Engineer

Call for recruitment of a Machine Learning Engineer

Deadline for submission: 31 August 2025

GATE is a joint initiative between Sofia University “St. Kliment Ohridski”, Chalmers University of Technology, Sweden and Chalmers Industrial Technology, Sweden. The Swedish institutions are leading organizations in strategic initiatives such as AI Sweden, AI Research Centre, AI Innovation of Sweden and the Digital Twin Cities Centre.

GATE develops research capacity and potential in Big Data and Artificial Intelligence, cultivating the next generation of leading scientists by expanding the existing research network and establishing long-term agreements with leading global organizations. The Institute builds sustainable stakeholder relationships, focusing on technological collaboration between government, industry, academia and non-governmental organizations towards Artificial Intelligence and smart decision-making models.

We use artificial intelligence for a better and safer life.

Responsibilities

• Develop, implement, and evaluate state-of-the-art neural network models.
• Collaborate with domain experts to apply ML solutions to real-world problems.
• Design and execute experiments, including dataset preparation, model training, and evaluation.
• Stay up to date with the latest advancements in deep learning and ML.
• Design and implement automated ML pipelines.

Skills, Experience and Qualifications

Essential

• Bachelor’s / Master’s degree in Mathematics, Physics, Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proficiency in Python with a good grasp of PyTorch or other deep learning frameworks.
• Strong understanding of neural networks and deep learning architectures (Transformers, LLMs, RNNs, Graph Neural Networks, Computer Vision etc.)
• Experience in ML model development, including algorithm selection, fdata preparation, feature engineering, model training, hyperparameter tuning.
• Solid knowledge of statistics, probability, and mathematical foundations of ML.
• Self-motivated, independent, and passionate about applied research.
• Strong ability to analyze and solve real-world problems using ML techniques.
• Willingness to collaborate in an interdisciplinary environment.
• Fluency in English.

Additional Advantages

• Knowledge and experience in reinforcement learning

Why join our team?

• You will be provided with numerous opportunities for learning, knowledge exchange and career development, locally and internationally.
• Your work will be supported by an advanced research infrastructure, comprising the GATE platform and Open Innovation Labs.
• You will work in a modern and attractive environment that stimulates creativity and productivity;
• You will be offered competitive working conditions and remuneration commensurate with your skills and experience.
• You will be part of a supportive, driven, and genuinely fun team that values collaboration and celebrates success together;
• You will be able to participate in regular team-building events – From off-site retreats to escape rooms and quiz “nights”, we know how to mix work with play;
• You will be able to access training, mentorship, and funding for courses and conferences to keep you growing;
• You will have flexible work options – hybrid work possibilities, flexible hours, and understanding of work-life balance;
• Multisport card.

How to apply

• Please send your contact data and files with personal documents.
• Cover letter that explains the motivating factors for considering the position (1-2 pages);
• Curriculum vitae;
• Copies of diplomas for completed education and certificates of qualification;
• Two letters of support from academic tutors, former supervisors, mentors or equivalent, including their contact details provided as appendices in the cover letter or as a separate document;
• As an attachment to your application, please sign, scan and enclose the following declaration: I agree to the processing of my personal data included in this application for the needs necessary to carry out the recruitment.

By applying for these positions, you voluntarily provide your personal data and consent to the processing of such data for recruitment and selection purposes. The processing of your personal data is carried out in accordance with the requirements of Regulation (EU) 2016/679 (General Data Protection Regulation), the Personal Data Protection Act and related regulations in Bulgaria.

Selection stages

1. Examination of the documents submitted and admission to the competition of those who satisfy the requirements set out in the notice. The successful candidates will be informed by 31 August 2025.
2. An interview with the successful candidates will take place until 11 September 2025.
3. All interviewed candidates will be informed of the outcome of the competition.
4. The selected candidates will be hired on a labour contract.