Zeus AI Software Engineer (Remote Sensing) Cambridge, MA · Remote · Full time Company website

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The challenge

Zeus AI is building foundation models for global and regional scale Earth system modeling, ingesting observations to produce an accurate low latency representation of the planet through machine learning data assimilation. This problem is often framed as observation to observation forecasting. We are tackling this problem with a multi-modal and multi-resolution modeling framework using numerous observation types including satellites, stations, aircraft, drones, and marine vessels to power forecasts and digital twin models. Data from this system must be ingested both historically and in near-real time while efficiently serving EarthNet outputs to users. 

The role

We are looking for a software engineer to join our core science and engineering team. In this role, you'll be instrumental in building foundation models for data assimilation and forecasting.  You will develop and manage the software infrastructure supporting EarthNet training and operations. This will include optimizing system architecture and best practices across the stack, from data ingestion to serving users forecasts. You will develop data pipelines to ingest remote sensing observations into Zeus’s data lake while optimizing data loading into machine learning pipelines. You will also manage serving data to users through cloud storage, APIs, and web visualizations.  

Duties and responsibilities

• Advance the development of EarthNet, Zeus AI’s foundation model for Earth observations
• Manage software infrastructure supporting EarthNet data pipelines and operations
• Design and optimize system infrastructure including efficiency of data pipelines and machine learning inference
• Develop and maintain live data ingestion pipelines of remote sensing observations from external public and private providers
• Support data infrastructure on a combination of cloud and high performance computing systems
• Serve EarthNet predictions to users through application programming interfaces and cloud storage systems 
• Build data visualizations of our analysis and forecast predictions

Qualifications

• Ph.D degree with 2+ years of experience or B.S./M.S. with 5+ years of experience in computer science, remote sensing, physics, mathematics, or related quantitative field
• 2+ years of experience working with remote sensing datasets including infrared, hyperspectral, soundings, radar, and/or lidar observations 
• Experience developing data visualizations of Earth science data
• Experience with Python, PyTorch/Tensorflow
• Experience with high-performance computing systems using technologies like Slurm, MPI, Docker/Singularity, etc.
• Experience with cloud computing systems like AWS, Azure, GCP, and Lambda
• Strong interest in scientific research and development, with a desire to contribute to cutting-edge advancements

What we offer

• The opportunity to work on cutting-edge research at the intersection of Earth science and machine learning, with access to extensive computing resources
• A collaborative and stimulating work environment alongside a team of passionate and talented scientists and engineers
• Competitive compensation, including salary, equity, and a comprehensive benefits package (health, dental, vision, and 401k retirement options)
• Flexible work arrangements and a co-working space benefit
• The chance to make a tangible difference in the world by contributing to climate solutions and significantly improving weather forecasting