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Senior AI/ML Engineer (2026 Vision) - San Francisco, CA

FutureScale Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to shape the future of technology?

FutureScale Systems is at the forefront of the next wave of innovation. As we look toward the technological landscape of 2026, we are seeking a visionary Senior AI/ML Engineer to lead our advanced intelligence initiatives. You will be instrumental in architecting scalable, robust, and cutting-edge AI solutions that redefine industry standards.

In this role, you won't just write code; you will define the architecture for tomorrow's intelligent systems. If you are passionate about pushing the boundaries of machine learning and want to work in a high-growth environment, we want to hear from you.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and deep learning architectures tailored for future enterprise needs.
  • Lead the end-to-end ML pipeline, from data ingestion and preprocessing to model training, evaluation, and production deployment.
  • Collaborate with cross-functional teams of data scientists, software engineers, and product managers to translate business requirements into technical AI solutions.
  • Optimize existing algorithms for speed, accuracy, and efficiency to ensure our systems perform flawlessly in 2026 and beyond.
  • Stay abreast of the latest research in AI and implement state-of-the-art techniques to maintain a competitive edge.
  • Mentor junior engineers and conduct code reviews to foster a culture of excellence and continuous learning.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Minimum of 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping production models.
  • Expert proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of MLOps practices, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure).
  • Experience with Large Language Models (LLMs), NLP, or Computer Vision is highly desirable.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch MLOps AWS GCP NLP SQL Agile

Ready to Take This Challenge?

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