Working with our founding team to define the technical roadmap for prioritizing and developing key deep learning components.
Design and development a deep surrogate models for reservoir dynamics, seismic response, and other geophysical processes to accelerate the inference and decision making processes of the AI system.
Design and develop a deep generative model for 3D geological models trained on synthetic and real data.
Develop pipeline for data ingestion, model validation, deployment, and versioning.
Collaborate with the software engineering team members to integrate deep learning technology into the product backend.
Collaborate with product and UX/UI designers to finalize front-end designs and lead implementation.
Play a critical role in hiring and building up our technical team.
Requirements & Skills:
M.S. in computer science or related field and 5 years in machine learning engineering or research
OR PhD in computer science or related field and 2 years in machine learning engineering or research
Experience working with multidisciplinary teams (across UI/UX design, product, AI, ML)
Demonstrated proof of building deep learning models from scratch.
Ability to come to our coworking location in Sunnyvale, CA 3 days per week.
Is excited about our mission to improve the speed and adoption of critical technologies to drive to net zero by 2050.
Can drive forward in ambiguous environments.
Has start up experience in building a full end-to-end web application product across back end, cloud services and front end.
Can balance trade-offs and decisions around utilizing micro services vs building ourselves.
Is curious to learn about our customers, their workflows and applications of our product and the underlying AI and ML technology.
