Senior Machine Learning Engineer

Y Combinator Start-Up, currently participating in the YC Winter 2024 batch. We raised a $3M seed recently.

We encourage all applicants from the EU to apply.

Overview

Aether is on a mission to develop a comprehensive AI-driven platform for the solar energy industry. Our founders have strong technical academic background from UC Berkeley, complemented by extensive technical experience gained at some of the most influential companies in the energy sector.

Aether is seeking a machine learning engineer with a strong background in software engineering.

Ideal candidates should have backgrounds in Physics, Mechanical Engineering, Electrical Engineering, or Materials Science, coupled with expertise in Computational Mathematics. A Master's degree is essential for this role, while a PhD, though not mandatory, would be highly valuable.

We're Looking For Someone Who

Gets things done. This is an emerging Y Combinator seed company, and we require you to make an impact from day one.

Consequently, this position requires a high degree of adaptability and self-motivation. You will be expected to take the lead in developing many of our core long-term products, a strong appetite for research is necessary.

Your growth potential here is unlimited.

Qualifications

This role will be 80% Machine Learning/Data Science focused, and 20% backend engineering focused. You will need to be comfortable to write production-level code.

• REQUIRED
• Strong proficiency in Python
• Knowledge of unsupervised and supervised machine learning techniques
• A deep understanding of Computer Vision models such as UNET, DeepLab, or HRNet (High-Resolution Network).
• Proficiency in data exploration (using BigQuery, Jupyter notebooks, and SQL), model development, and the establishment of data/ML pipelines
• Comfortable working with APIs and Databases.
• Knowledge of best practices in collaborative coding with tools like Git and CI/CD.
• Strong software engineering skills and an understanding of good design patterns.
• You must be Fluent in English.
• Preferred - We know you won’t know everything but having a good general breadth of the requirements below will set you apart.
• A keen interest in the intersection of physical systems and AI.
• Knowledge of the Django framework.
• Familiarity with Python libraries, including Pandas, NumPy, scikit-learn, PyTorch/Tensorflow, PyTorch Lightning, and vector databases.
• Competency in deploying data and code to cloud platforms (GCP/Digital Ocean).
• Understanding of energy related data: battery data, solar data, etc.
• Ideally, previous experience in high-growth start-ups.
  
  

Compensation/Time Commitment/Location:

You will need to work US EST hours from Monday to Thursday. You must be in our Paris office 3x a week starting in August.

1st 3 months will be on a contract basis to assess performance.