Home Job Details
A
Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Aether Dynamics
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Aether Dynamics is at the forefront of the artificial intelligence revolution. We are seeking a visionary Senior Machine Learning Engineer to join our elite research team. In this role, you will be responsible for architecting, training, and deploying state-of-the-art deep learning models that power our core products.

You will work in a collaborative environment with world-class researchers and engineers to solve complex problems in natural language processing and computer vision. If you are passionate about pushing the boundaries of what is possible with AI, we want to hear from you.

Responsibilities

  • Design, implement, and optimize state-of-the-art machine learning models and algorithms.
  • Collaborate with data scientists and engineers to prepare high-quality datasets for training.
  • Deploy models to production environments using MLOps best practices and cloud infrastructure (AWS/GCP).
  • Conduct rigorous experimentation and model evaluation to improve accuracy and performance.
  • Write clean, maintainable, and well-documented code.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field; PhD is a plus.
  • 5+ years of professional experience in machine learning or artificial intelligence.
  • Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
  • Experience with MLOps tools, cloud platforms, and containerization (Docker/Kubernetes).
  • Deep understanding of statistical analysis and machine learning theory.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes SQL Data Science

Ready to Take on This Challenge?

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

Apply Now

Related Job Openings

Job recommendations similiar to you

View All