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Aether Tech Stack

AI-discovered proteins for materials, pharmaceuticals, and industrial applications

Biotechnology Research Menlo Park, California 11–50 employees Founded 2017 Privately Held

Aether uses a proprietary protein function model trained on in-house high-throughput screening data to discover new proteins for commercial applications. The tech stack (Python, PyTorch, NumPy, Pandas on AWS) reflects a computational biology startup, but the project list reveals the core challenge: moving from lab discovery to scaled manufacturing. Active work spans ML architecture, multi-site production handoff, supply chain integration, and testing workflow automation—indicating Aether is transitioning from research-driven to operations-driven, with hiring spread across engineering, manufacturing, and research in roughly equal measure.

Tech Stack 13 technologies

Core StackPython PyTorch NumPy Pandas Linux AWS Django Ultimaker JMP Git SQL

What Aether Is Building

◆Challenges

Scaling production across sites
Ensuring consistent performance at scale
Managing multi-site supply chain
Expanding beyond fff and fdm
Expanding testing capabilities
Expanding presence in european markets
Complex procurement cycles
Building trust with conservative technical buyers
Managing noisy biological data
Ensuring data auditability

▲Active Projects

End-to-end ml system architecture design
Scale production across u.s. and europe
Hand off from process development to full-scale manufacturing
Manage multi-site supply chain infrastructure
Integrate testing workflows into uncountable
Build novel testing workflows
Support application development
Pilot projects
Pocs
Joint development agreements

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Engineering

2

Manufacturing

2

Research

2

Sales

1

Seniority

Senior

4

Junior

2

Lead

1

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About Aether

Aether Biomachines discovers novel proteins using machine learning and proprietary biological data, then translates those proteins into commercial products. The company operates at the intersection of AI and biotech: it generates training data through advanced assay technology and high-throughput screening, feeds that into a protein function model to identify new variants, and manufactures the resulting proteins for industrial customers. Current applications span high-performance polymers for aerospace and defense, catalysts for metal refining and rare-earth processing, biodegradable alternatives to persistent chemicals, and carbon capture. The company is headquartered in Menlo Park and is expanding manufacturing capacity across the United States and Europe.

HeadquartersMenlo Park, California

Company Size11–50 employees

Founded2017

Hiring MarketsUnited States