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Senior AI/ML Architect (2026 Roadmap)

FutureScale Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to engineer the future? FutureScale Technologies is seeking a visionary Senior AI/ML Architect to lead our initiatives for the year 2026. We are building the next generation of autonomous systems and generative AI models that will redefine industry standards.

In this role, you won't just be writing code; you will be architecting the infrastructure that powers intelligent solutions for the future. You will work in a high-performance environment, leveraging state-of-the-art technology to solve complex problems at scale.

Key Highlights:

  • Build scalable infrastructure for next-gen AI models.
  • Lead a team of talented engineers in a fast-paced startup culture.
  • Competitive equity package and top-tier compensation.
  • Flexible working arrangements in the heart of SF.

Responsibilities

  • Design and implement robust machine learning pipelines and infrastructure for 2026-scale data volumes.
  • Optimize neural network architectures for performance and accuracy.
  • Collaborate with product managers and data scientists to define AI product roadmaps.
  • Mentor junior engineers and conduct technical code reviews.
  • Stay at the forefront of AI research and apply novel techniques to production systems.
  • Ensure scalability, security, and reliability of AI deployments.

Qualifications

  • Master’s or PhD in Computer Science, AI, or a related quantitative field.
  • 8+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of distributed systems and large-scale data processing.
  • Excellent communication skills and a passion for leading technical teams.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Deep Learning NLP Distributed Systems AI Architecture

Ready to Take This Challenge?

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