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Senior AI/ML Engineer (Project 2026)

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to shape the future of intelligent systems? Aether Dynamics is looking for a visionary Senior AI/ML Engineer to lead the technical development of our revolutionary Project 2026. We are building the infrastructure for a next-generation AI ecosystem that will redefine human-computer interaction in the coming decade.

In this role, you will not just write code; you will architect the neural pathways of tomorrow. You will work with a world-class team of researchers and engineers dedicated to pushing the boundaries of Generative AI, Computer Vision, and Predictive Analytics.

Why Join Us?
We offer a competitive compensation package, equity opportunities, and a remote-first culture that encourages innovation. If you are passionate about solving complex problems and have a knack for scalability, this is your chance to leave a lasting impact on the industry.

Responsibilities

  • Architect and deploy scalable machine learning models and deep neural networks for the Project 2026 platform.
  • Lead research initiatives to improve algorithmic efficiency and reduce computational costs.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Optimize existing AI pipelines for production environments, ensuring low latency and high throughput.
  • Stay ahead of industry trends and integrate cutting-edge advancements into our core technology stack.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, TensorFlow, PyTorch, and SQL.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying production-ready AI models.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Docker Kubernetes AWS GCP SQL Agile Machine Learning Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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