Careers

Open Positions

Machine Learning Engineer

Location: Cambridge, MA or remote

We are seeking a machine learning engineer to work at the intersection of atmospheric science, meteorology, and remote sensing. This position will be part of our core science and engineering team building foundation models for data assimilation and forecasting. This position will develop generative machine learning models, collect large scale heterogeneous datasets of the Earth system, evaluate model performance, and scale training. Problems include scaling multi-modal foundation models, fine-tuning downstream tasks, and high-dimensional data compression. In this role, you will collaborate with an interdisciplinary group of scientists to incorporate domain specific understanding into machine learning models applied to commercial applications like numerical weather prediction, contrail detection, aviation planning, and extreme event detection.

Duties and responsibilities

- Develop and implement generative machine learning models for Earth observation data.
- Build and curate large-scale, heterogeneous datasets of the Earth system.
- Evaluate model performance and implement strategies for improvement.
- Lead efforts to scale training of multi-modal foundation models.
- Fine-tune models for downstream tasks like weather prediction, contrail detection, and extreme event detection.
- Collaborate with atmospheric scientists and domain experts to incorporate domain knowledge into models.
- Contribute to the development of commercial applications for Earth observation data.

Qualifications:

- B.S., M.S, or Ph.D degree in computer science, physics, mathematics, or related field.
- 2+ years of industry experience as a software or machine learning engineer.
- Experience training generative machine learning models including but not limited to variational autoencoders, - transformers, adversarial networks, multi-modality, and super-resolution.
- Experience cultivating large datasets from diverse data sources.
- Excellent programming skills in Python including PyTorch/Tensorflow.
- Ability to analyze and interpret complex scientific data.
- Strong communication and collaboration skills to work effectively with an interdisciplinary team.
- Passion for Earth science and a desire to make a positive impact on the planet.
- Technologies: Python, PyTorch/Tensorflow/Jax, Xarray, MPI, Zarr, SQL, BigQuery, Git

What We Offer:

- The opportunity to work on cutting-edge research at the forefront of atmospheric science and Machine Learning.
- A collaborative and stimulating work environment with a team of passionate and talented scientists and engineers.
- Competitive salary + equity and benefits package.
- Flexible work arrangements.
- The chance to make a real difference in the world by contributing to climate solutions and improving weather forecasting.
- Benefits: Health, dental, and eye, 401k Retirement options, unlimited PTO, and co-working access.