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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - United States

Quantum Dynamics Inc.
San Francisco
Estimated Salary
USD 185.000 – USD 245.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Quantum Dynamics Inc. is pioneering the next generation of artificial intelligence, focusing on scalable neural networks and ethical AI frameworks. We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. In this role, you will bridge the gap between theoretical research and production-grade deployment, shaping the future of our 'Project 2026' initiative.

Why Join Us?
We offer a dynamic environment where innovation is not just encouraged but expected. You will have the autonomy to design systems that impact millions, alongside a competitive benefits package including equity, remote work flexibility, and continuous learning opportunities.

Responsibilities

  • Architect and deploy scalable machine learning models using Python and TensorFlow/PyTorch.
  • Lead the 'Project 2026' initiative, ensuring technical feasibility and performance optimization.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Mentor junior engineers and conduct code reviews to maintain high standards of quality.
  • Design robust data pipelines to handle large-scale real-time data streams.
  • Translate complex business requirements into elegant technical solutions.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field (preferred).
  • 5+ years of professional experience in AI/ML engineering, specifically with deep learning frameworks.
  • Strong proficiency in Python, SQL, and cloud platforms (AWS, GCP, or Azure).
  • Experience with MLOps tools, containerization (Docker), and orchestration (Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.
  • Strong communication skills and a passion for AI ethics.

Required Skills

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

Ready to Take This Challenge?

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