Junior Machine Learning Engineer (m/f/d)

These will be your main responsibilities: 

• Scope machine learning projects and assess their technical feasibility through client interaction

• Implement machine learning methods and apply them to real world use cases

• Contribute to the development of our internal tech stack 

• Collaborate with data-, backend-, and frontend engineers in order to build production-ready AI solutions

You are proficient in software engineering and the latest Machine- and Deep-Learning technologies, as well as classical Machine Learning methods. You will independently scope, plan, manage, and drive machine learning projects from ideation to production. You are a great fit for our team if this describes you:

• MSc+ in computer science, Machine Learning, or related technical field;

• Relevant programming skills in Python with experience with libraries like PyTorch and scikit-learn;

• Experience in several of the following: time series analysis, optimization problems, probabilistic modelling, computer vision;

• Proven ability to independently complete complex, real-world technical projects;

• Appreciation for sound engineering practices like version control, clean code, code review, testing, CI/CD, and automation;

• Ability to interact with clients, to understand their problems, and to design and explain complex technical solutions;

• Fluency in English (German is a plus);

What we offer

• We have a flexible work-from-home policy;

• Brand new office situated on the AI Campus in Berlin;

• We offer Visa Sponsorship;

• Hardware allowance. We give you support to have all the equipment you would need to thrive in your job;

• International Team: within our current Team, we have more than 10 nationalities and counting;

• We offer 50€ per employee per month that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sport (Urban Sports Club membership) or Edenred (Groceries);

• Engaging Topics and Excellence: Merantix offers unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs.

• Ethics: We are committed to developing ethical AI software;

• Dynamic working culture: We hold weekly and monthly events around AI Innovation and Implementation. We have a flat hierarchy, open 360° feedback, and flexible working hours;

• Learning and Development. Annual learning and development budget to attend conferences or purchase educational resources to further develop additional skills;