Staff Data Scientist, Redwood Materials

Salary not provided

Python

Linux

Pandas

Scikit-Learn

Senior level

Remote from US

More information about location

Battery recycling startup

Job no longer available

Battery recycling startup

501-1000 employees

B2BSustainabilityManufacturingElectric Vehicles

Job no longer available

Salary not provided

Python

Linux

Pandas

Scikit-Learn

Senior level

Remote from US

More information about location

501-1000 employees

B2BSustainabilityManufacturingElectric Vehicles

Company mission

To build a circular supply chain to power a sustainable world and accelerate the reduction of fossil fuels.

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science, an Engineering discipline, or equivalent practical experience
Strong software architecture and coding skills. We are looking for folks capable of developing and deploying pipelines and writing clean, maintainable code, much of which will be used in production
5 years of in-depth experience working with classical machine learning methods (trees, clustering, SVM, ability to blend techniques and pick the right tool for the job), 4 years of professional software development experience
Ability to implement algorithmic machine learning-esque models for problems that are not solved well by standard/textbook machine learning techniques
Strong experience with Python, Pandas, scikit-learn, relational databases, Linux, working in cloud environments

What the job involves

Redwood Materials is looking for talented data scientists and machine learning engineers to work on several special projects which involve making real world inferences based on complex sensor and imagery data
Some examples of this data are x-ray scans, 3d imaging, and spectrometry data
This role will require creativity, thoughtfulness, and engineering intuition to extract features and build models that identify and predict physical phenomena
This is an opportunity to join during a critical growth phase and build green field software which is critical to the technical growth and scaling of the company
Leading technical teams, managing project requirements and timelines
Deploying machine learning/data pipelines to cloud infrastructure
Designing robust cloud architecture for machine learning projects
Utilizing your experience in a physical engineering discipline, physics, or strong intuition around modeling mechanical/electrical/chemical/high-energy radiation processes

Our take

Redwood Materials, the brainchild of former Tesla co-founder and CTO JB Straubel, is making waves in the sustainable energy sector with its strategic approach to battery recycling and domestic supply chains for lithium-ion batteries.

The company is dedicated to creating a fully closed-loop supply chain by manufacturing critical battery components using as many recycled batteries as possible, effectively localising a 50,000-mile global battery supply chain on a single site. This strategy aims to address the critical issue of material sourcing, particularly the reliance on China for battery materials.

Redwood Materials closed a Series E funding round in 2025 at a post-money valuation exceeding $6B. This financial backing positions the company to continue expanding its capacity, further strengthening the US's domestic battery supply chain. Its ambitious goal of enabling customers to purchase battery materials made in the US is aligned directly with the broader political objective of onshoring critical industries, as emphasised in the USA's 2022 Inflation Reduction Act.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (3.4)

Company

Funding (last 2 of 7 rounds)

Feb 2026

$75m

SERIES E

Oct 2025

$350m

SERIES E

Total funding: $2.2bn

Company HQ

Carson City, NV

Leadership

JB Straubel

(CEO)

Co-founder of Tesla where they spent 15 years as Chief Technology Officer before founding Redwood Materials. They currently serve on the Board of Directors at Tesla and as a Board Member at QuantumScape.

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