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Senior AI Engineer - 2026 Initiative | San Francisco, CA

FutureScale Corp
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the future of intelligent systems? FutureScale Corp is seeking a visionary Senior AI Engineer to spearhead our revolutionary 2026 Initiative. We are building the next generation of autonomous, self-learning architectures, and you will be at the forefront of this technological transformation.

In this role, you won't just implement existing models; you will architect the neural foundations that will power industries for decades to come. We offer a highly competitive compensation package, equity opportunities, and an environment that fosters radical innovation and professional growth.

Why Join Us?
β€’ Work on high-impact projects that define the roadmap for the next decade.
β€’ Access to state-of-the-art hardware and research facilities.
β€’ Collaborative culture with industry leaders in AI and Robotics.

Responsibilities

  • Architect and deploy scalable machine learning models for the 2026 Initiative, ensuring high availability and low latency.
  • Lead research in cutting-edge deep learning architectures, specifically focusing on Transformer models and reinforcement learning.
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers to integrate AI solutions into core products.
  • Mentor junior engineers and foster a culture of technical excellence, code quality, and innovation.
  • Optimize model performance for real-time inference and large-scale data processing.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering and productionizing AI models.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of delivering production-ready AI products and leading technical projects from concept to deployment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems AWS Kubernetes AI Architecture San Francisco

Ready to Take This Challenge?

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

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