[TECH-US] Junior Machine Learning Engineer [DECISIONS]

The Decisions Alliance's goal is to enable HelloFresh to build a rapid feedback loop around understanding our customers, finding the best way to communicate with them and utilizing AI/ML capabilities. We're responsible for the company's Communications, Customer Data, Experimentation, and MLOps Platforms.  Our team works on a variety of technologies ranging from high throughput, real-time communications systems to deep statistical libraries to large-scale machine learning training pipelines. 

The Role

We are hiring a Junior Machine Learning Engineer in our Customer Value Forecasting team inside the Global AI department to help build innovative Machine Learning products which drive value forecasting at HelloFresh. As a Junior Machine Learning Engineer, you will build machine learning products that directly impact business outcomes. You will also be working on in-depth analysis and transforming them into a product. Additionally, you will learn how to design and build scalable, robust, and efficient machine learning systems that can handle large datasets and complex models.

What you’ll do

• Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
• Collaborate with product managers and business stakeholders to understand their needs and translate them into machine learning products and analysis.
• Create proof-of-concept Machine Learning models and quickly iterate on them to build them into production-ready products under the guidance of senior team members.
• Collaborate with our business stakeholders to ensure the successful adoption of our Machine Learning products.
• Evaluate the performance of machine learning models and make recommendations for improvement.
• Work with Data Engineers to ensure that data is properly prepared and available for machine learning models.
• Stay up-to-date on the latest advancements in machine learning and artificial intelligence.

What you’ll bring

• A passion for solving complex business problems with machine learning within a fast-paced business environment. Experience with Machine learning for marketing is a plus.
• Strong programming skills in Python and SQL. Previous experience with PySpark is a plus.
• Hands-on experience with designing and maintaining Machine Learning systems for production use cases including model monitoring and drift detection.
• Pick up new technologies and modeling methodologies quickly while solving actual business problems.
• Interest in working with modern data science tooling such as cloud development, version control, CI/CD, Docker, model registries and a feature store.
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access, wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

 

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

New York Pay Range$93,000—$120,000 USD