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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - San Francisco, CA

FutureScale Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI Engineer to join FutureScale Technologies and help define the technological landscape of 2026. In an era defined by rapid digital transformation, you will be at the forefront of building intelligent systems that power the future of our business and our clients.

As a Senior AI Engineer, you will not just implement existing solutions; you will architect and deploy next-generation neural networks and Large Language Models (LLMs). We are looking for a technical leader who thrives in ambiguity and is passionate about solving complex problems with cutting-edge artificial intelligence.

Why Join Us?

  • Work on high-impact projects that shape the future of tech.
  • Competitive compensation and equity packages.
  • Collaborative culture focused on innovation and continuous learning.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep neural networks.
  • Collaborate with product managers, data scientists, and software engineers to integrate AI solutions into production environments.
  • Research and implement novel algorithms to improve model accuracy, efficiency, and robustness.
  • Optimize existing models for low latency, high throughput, and minimal resource consumption.
  • Stay current with the latest research in AI, NLP, and computer vision to drive innovation.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering or data science.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying AI models into production at scale.

Required Skills

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

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