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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026 Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

At 2026 Future Systems, we are at the forefront of the technological revolution. We are looking for a passionate Senior AI Engineer to join our elite team in San Francisco and help define the landscape of artificial intelligence for the next decade. If you are a visionary developer who thrives on solving complex problems and pushing the boundaries of what's possible with neural networks, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that impact millions.
  • Competitive salary and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Architect and implement scalable machine learning models using Python and deep learning frameworks.
  • Lead the end-to-end development lifecycle of AI products, from research to production deployment.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Optimize existing models for latency, accuracy, and resource efficiency.
  • Stay abreast of the latest research in the AI field and integrate novel techniques into our systems.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5+ years of professional experience in software development and machine learning.
  • Proficiency in Python and experience with libraries such as PyTorch, TensorFlow, or Keras.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP AWS Docker Kubernetes Deep Learning San Francisco

Ready to Take This Challenge?

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