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Future-Ready AI Research Engineer (Class of 2026)

Aether Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

We are building the infrastructure for tomorrow's intelligence today. Aether Dynamics is seeking a visionary Future-Ready AI Research Engineer to pioneer breakthroughs in Generative Models and Predictive Analytics. If you are obsessed with the trajectory of AI development and want to define the landscape for 2026 and beyond, we want to meet you.

In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will work in a high-performance environment alongside top-tier researchers to solve complex problems in natural language processing, autonomous agents, and multi-modal learning.

Why join Aether Dynamics?

  • Work on projects that will define the industry standard for the next decade.
  • Access to state-of-the-art compute clusters and research grants.
  • Competitive equity package and performance bonuses.

Responsibilities

  • Design and implement cutting-edge neural network architectures optimized for large-scale inference and training.
  • Conduct experimental research to explore new paradigms in machine learning, focusing on energy efficiency and model compactness.
  • Collaborate with cross-functional teams to integrate AI models into consumer-facing products.
  • Optimize existing models for speed and accuracy, reducing latency by up to 40% in production environments.
  • Stay ahead of the curve by analyzing global AI trends and adapting our roadmap accordingly.
  • Write and maintain high-quality code, including documentation and unit tests.
  • Mentor junior engineers and contribute to the technical culture of innovation.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning or Deep Learning engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing research papers or contributing to open-source AI projects.
  • Experience with distributed computing systems (e.g., Kubernetes, Docker, AWS, GCP).
  • Deep understanding of transformer models and attention mechanisms.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Distributed Systems AWS Kubernetes Docker Transformer Models CUDA

Ready to Take This Challenge?

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