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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Research Scientist (2026 Vision)

FutureScale Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Research Scientist to spearhead our '2026 Vision' roadmap. As we approach the next major technological leap, you will be responsible for architecting the algorithms that will define the landscape of enterprise intelligence.

At FutureScale Systems, we don't just predict the future; we build it. You will work in a cutting-edge environment, collaborating with world-class engineers and product designers to deploy scalable, ethical, and high-performance AI models designed for the 2026 era.

Responsibilities

  • Lead R&D Initiatives: Design and implement novel machine learning architectures tailored for 2026-scale data volumes and processing needs.
  • Model Optimization: Drive the performance, accuracy, and efficiency of our core inference engines using state-of-the-art techniques.
  • Technical Leadership: Mentor junior researchers, conduct code reviews, and establish best practices for MLOps and reproducible research.
  • Strategic Visioning: Translate high-level business goals into concrete technical roadmaps for the upcoming fiscal years.
  • Publication: Contribute to top-tier academic conferences and journals to maintain our position as an industry thought leader.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience: 5+ years of professional experience in applied machine learning research and production deployment.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Ray).
  • Domain Knowledge: Deep understanding of Natural Language Processing (NLP) or Computer Vision (our primary focus areas).
  • Soft Skills: Exceptional communication skills and the ability to thrive in fast-paced, collaborative environments.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning MLOps AI Research Distributed Computing

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