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Lead AI Research Scientist - Next Gen Architecture

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

The Future is Here. Horizon 2026 Technologies is on a mission to revolutionize the digital landscape. We are looking for a visionary Lead AI Research Scientist to architect the intelligent systems of tomorrow. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and large-scale machine learning, we want to hear from you.

In this role, you will not just write code; you will define the future of human-computer interaction. You will work in a high-performance environment with the freedom to experiment, innovate, and deploy breakthrough solutions.

Responsibilities

  • Architect & Develop: Design and implement cutting-edge neural network architectures and algorithms.
  • Research Leadership: Lead high-impact research initiatives focusing on NLP, Computer Vision, and Reinforcement Learning.
  • Production Deployment: Oversee the deployment of ML models into scalable production environments with a focus on latency and efficiency.
  • Collaboration: Partner with cross-functional teams (Product, Engineering, Design) to translate research into product features.
  • Mentorship: Guide and mentor a team of junior data scientists and machine learning engineers.
  • Optimization: Continuously optimize existing models for accuracy, speed, and resource utilization.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Experience: 5+ years of experience in AI/ML research or software engineering with a strong focus on deep learning.
  • Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries.
  • Architecture: Deep understanding of Transformer models, Large Language Models (LLMs), and attention mechanisms.
  • Tools: Experience with MLOps tools (Docker, Kubernetes) and cloud platforms (AWS/GCP).
  • Problem Solving: Proven track record of solving complex, unstructured problems in high-stakes environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Kubernetes Leadership

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