Bunúsach
Junior Machine Learning Engineer (Internship)
Postáilte: 18.05.2026
Dáta deiridh: 02.07.2026
Tagairt poist: 0c5e262ca9841a1f76d86c2c17e0ce02
Eolas faoin bpost
Suíomh
Zürich, Zurich, Switzerland
Cuideachta
TN Switzerland
Cliant / Fostóir
Visium
Tagairt poist
0c5e262ca9841a1f76d86c2c17e0ce02
Cineál liostála
Bunúsach
Cead oibre AE ag teastáil
Ní hea
Postáilte
18.05.2026
Dáta deiridh
02.07.2026
Cur síos ar an bpost
RoleJoin the company’s growing team and take part in our expansion in Switzerland and internationally. As a Junior Machine Learning Engineer, you will be working on a variety of applied research projects using state-of-the-art Machine learning techniques and you will help deploy them for customers, transforming their business.You will contribute to an exciting environment with a challenging team always on the lookout to learn and share about the latest technologies and applications.RequirementsWho you should be in order to apply?EPFL or ETH Student/Graduate. If you are still studying, you have an internship to complete as part of your studiesData enthusiast, you are not scared to dive in and to ask the right questionsResourceful, critical thinking, collaborative and team-oriented spiritImpeccable attention to details and drive to excelFast learner and have a problem-solving attitude, the projects you will work on are not textbook cases, you will need to be imaginative to bring the best solutionsOrganizational skills and capacity to adapt in an ever-evolving scale-up environmentWith strong communication skills, you will most likely have to present your results to non-technical peopleYou are willing to always go the extra mile and never compromise on qualityProactive attitude, not hesitating to act and take on responsibilitiesYou have a growth mindset, always on the lookout on what you can improve, rationalize and consolidateIn addition, this should be part of your background to applyProficiency in Python programmingExperience with ML/DL libraries and frameworks (es. Scikit-learn, TensorFlow, Keras, Pytorch)Experience with various visualization frameworks (es. Matplotlib, Seaborn, Bokeh, Power BI, Tableau, , etc.)Experience in applying deep learning approaches, such as recurrent neural networks and deep convolution networksStrong knowledge of clustering algorithms, regression and classification (supervised/unsupervised/reinforcement learning)Understanding of Unix/Linux operating systemsFamiliarity with web development is a plus Familiarity with REST API and microservicesBenefitsWhat we offerA competitive compensation packageA yearly education budget to steep your learning curveA yearly sport budget because a fit body leads to a fit mindA flexible working culture because your work-life balance matters to usA position that enables you to have an impact on 1’000s of people, and the whole company's growth.An international, knowledgeable, and passionate team with a strong collaborative mindset