Machine Learning Engineer - Biome App

Earthshot Labs’ purpose is to use AI to catalyze planetary land regeneration.

We conduct core ecological research and build technology products that inspire landowners to restore their land, and easily onboard them to carbon marketplaces at no cost. Earthshot also develops land restoration and carbon projects around the world.

Earthshot believes that people are most effective and happy when they bring their whole selves into their work, so they can unleash their full genius.  We take shared breaths together, we discuss subjects that are deeply meaningful and at times vulnerable. We actively maintain a coherent field of deeply held love for nature and restoring humankind’s place within it. Despite our best intentions we are keenly aware of the potential problems inherent in creating a tech platform to engineer large scale land use, and so we are engaging with indigenous leaders, ecological experts, regenerative farmers, and other groups with deep knowledge of the land in order to ensure we have the highest integrity and wisdom infusing our efforts.

Earthshot is building two products that enable its vision: LandOS and Biome. LandOS is a platform for enabling landowners to envision and manifest the regeneration of land they have stewardship over. Our intention is to build a product that inspires our customers to be bold, to delight and engage them while they envision the future possibilities of the land in ways never possible before. Biome is our Unity app that collects nature observations in the most accurate, fun and engaging way using the smartphone’s neural engine, camera, and augmented reality depth field. The data collected is used to power both fundamental ecological research as well as to underpin our LandOS system for envisioning and manifesting land restoration.

The Role:

We’re looking for a unicorn designer who can code and shares our passion for ecological restoration. An adept UI, UX and graphic designer who can make beautiful and intuitive Unity games and then help code rapid prototypes to do customer discovery.

We are just beginning the development of Biome so you will be leading and shaping the design of what we’re calling “Pokemon GO for nature measurements”.

The Role:

• Design and implement innovative computer vision and deep learning algorithms to solve challenging scene understanding problems.
• Research different neural network architectures for image classification, scene segmentation, and depth estimation tasks.
• Train multiple deep neural networks with Tensorflow in Google Cloud environment.
• Convert ML models into Android and iOS compatible forms for deployment on mobile devices.
• Perform optimization techniques on neural network models to reduce computational load while maintaining performance.
• Solve scene understanding problems where limited measured training data is available using techniques such as transfer learning and domain adaptation.
• Help with capturing real world data in order to rapidly prototype different solutions to scene understanding problems.
• Interact with customers and users to determine and assess unmet needs and evolving requirements.
• Transition algorithms to prototype and/or real-time systems demonstration
• Be comfortable with the latest neural network architectures and enjoy reading research papers on the latest advancements.

Requirements

Who You Are:

• BS or MS degree in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline
• Experience with Python, Javascript, Swift, Kotlin, or C#
• Experience with a Deep Learning framework such as Tensorflow or PyTorch
• Track record of applying computer vision and machine learning algorithms to scene understanding problems
• Have a fascination with and deep technical understanding of machine learning applied to real world products
• A passionate and heart-centered professional with a deep love for nature and a desire to build a more integrated future for humanity.
  
  

Some Other Relevant Skills You May Have:

• Experience with GIS, LIDAR or Satellite Data
• Experience with Android or iOS development
• Experience with GCP, AWS or Azure
• Experience with or willingness to learn Augmented Reality

By now, you’ll probably have realized that Earthshot is a different type of organization than most other companies you’ve met. We’re inherently mission-driven for profound human and ecological impact. Even more important is the way we work together: the quality of communication, team coherence, creating conditions for the genius and creativity of our team members, recognizing the comprehensive lives that we each lead. Our vision for team culture is informed by teal management, a shared love of nature, and the cultivation of healthy human relationships. Earthshot is fundamentally motivated by love, and is an organization where heart-centered people can together apply their world-class talent to the biggest challenges of our time. We are a natively remote organization, which means that people can choose to work from home whenever they would like, and we have team gatherings every 1-3 months to build team coherence, foster deep relationships with each other, and enjoy nature together. In the future, we imagine permanent retreat places for teams to work for weeks or months at a time together in gorgeous natural settings.

Diversity:

Earthshot is building a company that honors the awe-inspiring complex diversity of the whole earth. We prioritize hiring team members who expand our team’s representation of race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, relationship style, and many other dimensions of diversity.

We welcome introverts, weirdos, hippies, and anyone else with high emotional intelligence, passionate ecological commitment, and brilliant skill set that maybe don’t fulfill the usual societal norms.

This isn't just about inclusion or equity. We believe that the genius of diverse peoples and backgrounds is essential to create culture and technology that reflect the world we want to live in.

Details and Application:

Salary $100-120k before our series A + early employee equity.

Note: This is a VC funded company, and early employee equity will far outweigh any salary compensation.

To apply:

1. Optional: take a 1 - 3 minute video about yourself, your genius, what you want to contribute to Earthshot, and what you want to receive in this next phase of your life and career (include this on the application linked below).
2. Fill out the questionnaire on the jobs page on the website.