World-Model Research Engineer — Quantitative Perception & Equity

Austin Community College; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Meaningful equity participation

Opportunity to work on frontier-scale problems

Job summary

Astera is seeking a Research Engineer to focus on world models and quantitative perception systems. This role entails the development of architectures for dynamic real-world systems and building models that extract actionable signals from data.

The ideal candidate should possess a strong technical background in machine learning and programming with experience using Python, PyTorch, and TensorFlow. You will collaborate with technical teams to deploy innovative research solutions.

Qualifications

• Experience building ML systems in Python using PyTorch, JAX, or TensorFlow.
• Strong understanding of probabilistic reasoning and statistical inference.
• Ability to independently design and run research experiments.

Responsibilities

• Develop latent-space and world-model architectures for dynamic real-world systems.
• Build models that infer hidden state from noisy or partially observed environments.
• Collaborate with infrastructure, AI, and product teams to productionize research systems.

Skills

Machine learning

Applied mathematics

Systems thinking

Problem-solving

Education

Strong background in a technical field

Tools

Python

PyTorch

JAX

TensorFlow

C++

Job description

Astera is seeking a Research Engineer to focus on world models and quantitative perception systems. This role entails the development of architectures for dynamic real-world systems and building models that extract actionable signals from data.

The ideal candidate should possess a strong technical background in machine learning and programming with experience using Python, PyTorch, and TensorFlow. You will collaborate with technical teams to deploy innovative research solutions.