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Machine Learning Engineer

В команду автоматической оценки выбросов СО2 на основе NLP ищем Middle MLE c опытом работы с information retrieval, ranking / reranking, classification etc. Бонусом будет опыт с предиктивными алгоритмами и AWS. Локация в Берлине или удаленно, обязательно хороший английский :)

Climatiq - API-first платформа для подсчета выбросов СО2.

Мы сумели занять крепкую нишу на рынке за последние три года и стабильно растем как в выручке, так и в размере команды. Среди наших клиентов - большие SaaS платформы и компании-лидеры sustainable supply chains по всему миру.

За последний год мы нашли product-market fit для одного из наших продуктов - автоматической оценки выбросов СО2 на основе NLP и хотим ускорить его развитие - в связи с чем ищем еще одного MLE в команду.

• Train, optimize, and evaluate various models (e.g., transformers, classifiers, encoders, LLMs) to improve North Star metric of accuracy @ top-k for our search engine on top of CO2 emissions data
• Develop and explore innovative methods for modeling multilingual, semi-structured, and hierarchical data. Perform experiments and communicate their results.
• Source, process, and standardize data from multiple sources, ensuring data quality and readiness for modeling. Generate synthetic data that can be used for the same purposes.
• Deploy and maintain models on AWS SageMaker. Optimize pipelines and prepare production services using flask, pydantic, MLFlow

• 3+ years of experience as MLE and / or Software Engineer;
• Good understanding of Machine Learning and underlying mathematics;
  • Experience in designing and implementing retrieval, ranking and classification systems, RAG and LLMs;
• Experience preparing models for production deployment, experience with Python REST APIs;
• English - fluent (C1 and up);
• 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;

Not mandatory, but is a plus:

• Experience with PostgreSQL or other relational databases;
• Experience with vector databases;
• Degree (BSc, MSc, PhD) with specialisation in ML;

• Remote within +/- 2 hours of CET timezone or office in Berlin (relocation can be considered)
• In case of remote, employment using Employer-of-Record in the country of residence;
• Gross annual salary of 70-90k EUR annually with possibility to discuss other bands for Senior / Staff candidates;
• Employee stock options, learning and development stipend, regular team offsites, and more