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Senior Machine Learning Engineer

Aether Dynamics AI
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Aether Dynamics AI as a Senior Machine Learning Engineer and help us shape the future of autonomous systems. We are building the next generation of predictive neural architectures, and we need visionary engineers to lead the charge.

You will work in a high-impact environment, collaborating with world-class researchers to turn theoretical breakthroughs into production-grade AI solutions.

Responsibilities

  • Architect, develop, and deploy scalable ML models for real-time data processing.
  • Optimize neural network performance for high-throughput edge computing environments.
  • Collaborate with cross-functional teams to integrate AI features into our core platform.
  • Conduct code reviews and mentor junior engineers on best practices in ML engineering.
  • Stay at the forefront of AI research and experiment with novel training methodologies.
  • Maintain high standards of data integrity and model interpretability.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in deep learning, computer vision, or natural language processing.
  • Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
  • Strong background in distributed computing and experience with cloud platforms (AWS/GCP/Azure).
  • Proven track record of deploying models into production environments at scale.
  • Excellent analytical, problem-solving, and communication skills.

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Cloud Architecture Distributed Systems

Ready to Take on This Challenge?

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