Machine Learning Engineer*in (NLP)

Machine Learning Engineer (NLP) - Climate Tech

Engineering - Berlin, Berlin (Remote)

About Climatiq

We are a fast-growing climate tech startup on a mission to drive climate action through data and insight. Our team consists of entrepreneurs, technologists, and scientists who have come from backgrounds such as Google, MIT, and other leading companies and academic institutions. Together, we are building a tech platform that empowers organizations to take action in tackling the climate crisis. Our powerful carbon calculation engine helps businesses embed emission metrics into any software they already use to accurately calculate and continuously monitor their carbon footprint and drive better decisions.

Our platform is used by tens of thousands of sustainability leaders worldwide, and we are proud to be backed by renowned international VCs and investors in the climate-tech and software sector. We are also a certified B Corp, highlighting our commitment to balancing purpose and profit. As a remote-first company, our team is spread out across Berlin and other parts of Europe, with a strong focus on collaboration and innovation.

This is an exciting time to join Climatiq. Be part of real, technology-driven endeavor from the beginning. Work with an amazing team and help build something meaningful together with our community.

Job Description

We are looking for an experienced Machine Learning Engineer with a focus on Data Engineering, Information Retrieval and Text Classification. Reporting to the CTO and working across our Engineering, Science and Data teams, you are passionate about building bleeding edge ML applications which are at the heart of our mission to tackle the climate crisis. We are looking for self-driven engineers who bring fresh ideas and are able to develop a product autonomously in a collaborative environment.

Responsibilities:

• Design, develop, and maintain features using Machine Learning Models, NLP, Information Retrieval and other relevant methodologies that power the infrastructure for carbon intelligence globally and across industries for all business activities and products.
• Play a key role delivering key data and insights into leading software platforms used by the largest enterprises across the world, powering billions of calculations in critical environments via our API, enhancing carbon visibility and climate action for organizations.
• Source, process, and standardize data from multiple sources, ensuring data quality and readiness for modeling.
• Train, optimize, and evaluate various models (e.g., classifiers, encoders, LLMs) to enhance accuracy and effectiveness.
• Deploy and maintain models on AWS, particularly with SageMaker, while managing production pipelines and conducting necessary testing, while monitoring model performance, troubleshoot issues, and implement enhancements based on feedback and analysis.
• Develop and explore innovative methods for modeling multilingual, semi-structured, and hierarchical data, with a focus on building a search engine on top of GHG data.

Required Qualifications:

• 5+ years of experience in Machine Learning Engineering, Architecture, Modeling, Data Pipelines, Data Extraction and Augmentation, Classification and Processing.
• 3+ years of experience in Python, building data pipelines and REST APIs.
• Demonstrated experience in designing and implementing search and classification systems within the information retrieval domain, with a focus on optimizing relevance, accuracy, and scalability across complex datasets.
• Self-driven and comfortable working autonomously, with excellent problem-solving skills.
• Strong written and verbal communication skills, with experience collaborating across remote teams, ensuring clear, effective, and aligned outcomes.

Preferred qualifications:

• Experience with managing AWS infrastructure is a plus.
• Prior experience with PostgreSQL is a plus, especially in a production environment.
• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience

Additional Information

• Location: Berlin or Remote within +/- 2 hours of CET timezone
• Starting date: As soon as possible
• Hours: Full-time, flexible working hours
• Compensation: Competitive salary and benefits, including employee stock options, learning and development stipend, regular team offsites, and more

As a certified B Corp, Climatiq is an equal-opportunity employer and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Send us your CV and a short cover letter, highlighting your skills and experience, relevant for the advertised role.