Simplify Logo

Full-Time

Staff ML Engineer

Confirmed live in the last 24 hours

KoBold Metals

KoBold Metals

51-200 employees

AI-driven ethical mineral exploration

AI & Machine Learning
Data & Analytics
Energy

Compensation Overview

$190k - $250kAnnually

Expert

Remote in USA + 1 more

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
NumPy
Requirements
  • At least 5 years of experience as a software engineer, data scientist, or ML engineer
  • Track record of building production ML solutions or tooling that have delivered business value
  • Proficiency with foundational concepts of ML
  • Proficiency in Python, ideally including array-based packages such as xarray and numpy
  • Proficiency in a variety of parallel computing patterns, for example using distributed computing frameworks such as Dask
  • Flexibility to engage with data scientists and increase their productivity for both experimental and production workflows
  • An open-mind and curious attitude to learn and embrace the unique challenges of applying machine learning to mineral exploration
  • Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)
Responsibilities
  • Architect, implement, and maintain foundational scientific computing libraries
  • Build ML tooling to increase the velocity of machine learning progress
  • Build models to make statistically valid predictions about compositional anomalies within the Earth’s crust
  • Apply engineering best practices
  • Collaborate to invent the modern scientific computing stack for mineral exploration

KoBold Metals stands out as a dynamic workplace due to its pioneering use of AI and statistical modeling in mineral exploration. With a specialized focus on ethically discovering critical battery metals, the company propels the electric vehicle industry forward while prioritizing sustainable practices. This commitment not only positions KoBold Metals as a leader in a crucial sector but also fosters a culture of innovation and responsibility among its workforce.

Company Stage

Series B

Total Funding

$410.3M

Headquarters

Berkeley, California

Founded

2018

Growth & Insights
Headcount

6 month growth

13%

1 year growth

49%

2 year growth

145%