Junior Machine Learning Engineer (Internship)

Description

Join 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.

Responsibilities

• Work on a variety of applied research projects
• Use state-of-the-art Machine learning techniques
• Help deploy ML solutions for customers
• Transform customer business

Qualifications

Who 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 studies
• Data enthusiast, you are not scared to dive in and to ask the right questions
• Resourceful, critical thinking, collaborative and team-oriented spirit
• Impeccable attention to details and drive to excel
• Fast 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 solutions
• Organizational skills and capacity to adapt in an ever-evolving scale-up environment
• With strong communication skills, you will most likely have to present your results to non-technical people
• You are willing to always go the extra mile and never compromise on quality
• Proactive attitude, not hesitating to act and take on responsibilities
• You have a growth mindset, always on the lookout on what you can improve, rationalize and consolidate

In addition, this should be part of your background to apply

• Proficiency in Python programming
• Experience with ML/DL libraries and frameworks (es. Scikit-learn, TensorFlow, Keras, Pytorch)
• Experience with various visualization frameworks (es. Matplotlib, Seaborn, Bokeh, Power BI, Tableau, D3.js, etc.)
• Experience in applying deep learning approaches, such as recurrent neural networks and deep convolution networks
• Strong knowledge of clustering algorithms, regression and classification (supervised/unsupervised/reinforcement learning)
• Understanding of Unix/Linux operating systems
• Familiarity with web development is a plus
• Familiarity with REST API and microservices

Benefits

What we offer

• A competitive compensation package
• A yearly education budget to steep your learning curve
• A yearly sport budget because a fit body leads to a fit mind
• A flexible working culture because your work-life balance matters to us
• A 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