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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

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

Job Description

Join Zai Future Systems as our next Senior AI/ML Engineer. We are at the forefront of innovation, building the intelligent infrastructure for the year 2026 and beyond. You will work on cutting-edge generative models and large-scale neural networks that redefine industry standards.

Why Join Us?
We offer a competitive salary, equity package, and the opportunity to lead a world-class team in a dynamic tech hub. If you are passionate about the future of artificial intelligence and want to leave a lasting impact, this is your place.

Key Highlights:
- Work on state-of-the-art deep learning architectures.
- Collaborate with top-tier researchers and engineers.
- Flexible remote and hybrid work options.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms.
  • Research and implement novel approaches in Natural Language Processing (NLP) and Computer Vision.
  • Optimize existing models for improved accuracy and inference speed in production environments.
  • Collaborate with cross-functional teams (product, engineering, data science) to integrate AI solutions.
  • Mentor junior engineers and contribute to code reviews and technical documentation.
  • Stay current with the latest advancements in AI research and apply them to our roadmap.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, preferably in a fast-paced startup or tech environment.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of machine learning theory and statistical modeling.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS GCP Docker Kubernetes AI Ethics Data Science

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