(Junior) Machine Learning Engineer (all genders)

About the Position

(Junior) Machine Learning Engineer (all genders)

We are looking for someone to join our team who is either at the beginning of their career in machine learning or has already gained some professional experience. What matters most is a solid foundation, curiosity, and the motivation to learn how ML systems are built and operated in practice.

You will work in a hybrid setup based in Hamburg, Dresden, or Berlin, spending two days per week in the office. In this role, you will also collaborate closely with colleagues across different time zones, including the US East Coast.

Responsibilities

• Translate product and business questions into well-defined machine learning tasks.
• Develop, evaluate, and improve machine learning models using Python.
• Contribute to reproducible data and ML pipelines, from initial experimentation through to production deployment.
• Prepare services and batch jobs for deployment using tools such as Docker.
• Work with cloud-based ML environments in AWS or GCP.
• Use SQL to explore, prepare, and validate data.
• Monitor model performance, investigate issues, and help improve the reliability of production solutions.
• Document your work and clearly communicate assumptions, trade-offs, and results.
• Collaborate closely with colleagues across Data Engineering, Software Engineering, Product, and other business functions.
• Consider model quality, robustness, and fairness when developing and evaluating solutions.

Requirements

• A solid foundation in machine learning concepts and model evaluation.
• Practical Python skills and the ability to write clear, maintainable code.
• Experience working with data and SQL.
• Some hands-on experience developing an ML solution.
• Interest in learning how models and data pipelines are deployed, monitored, and improved in production.
• A structured approach to problem-solving.
• Clear communication skills and an open, collaborative working style.
• Working proficiency in English.

Nice to Have

• Initial experience with Docker or another containerization tool.
• Exposure to AWS, GCP, or another cloud platform.
• Familiarity with NLP, large language model applications, or AI agents.
• Experience with NoSQL databases, distributed data processing, or streaming technologies.
• Awareness of software engineering practices such as version control, testing, and continuous integration.
• Experience operating, monitoring, or troubleshooting an ML model or data pipeline.

We Offer

• Flexible working style
• Part-time opportunities
• Central office
• Subsidized transportation
• Training & Development plans
• Food and soft drinks
• Health benefits
• Retirement plans
• Shopping discounts
• Volunteer opportunities
• Legendary parties
• Team Building Events

About the Company

With a global presence in over 190 countries and more than 400 employees, ParshipMeet Group is one of the five leading international Dating and Video providers. Our diversified portfolio consists of eight apps supporting millions of users every day in their search for like-minded people, an exciting date, or a long-term relationship. True to the motto: Meet – Date – Fall in Love.

At ParshipMeet, we help millions of people around the globe meet, date, and fall in love. We want our teams to be as diverse as our customer base. Constantly adding new perspectives is key to our success. We will never judge anyone by age, sex, family background, color of skin, religious beliefs, nor sexual orientation. For us, it’s all about skills, competencies, and you as a human being!

*Does this sound like what you're looking for? Great! Here you have the opportunity to apply and upload your application documents in just a few minutes. Please complete our application form as fully as possible. Mandatory fields are marked with an . We look forward to receiving your application!

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Your contact person

Jan-Peter Horn

Talent Acquisition Manager

+49 40 460026359