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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech AI Research Engineer

Quantum Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the infrastructure for the 2026 future, and we need a visionary AI Research Engineer to lead the charge. As a pioneer in Future Tech, Quantum Horizon Solutions is dedicated to developing autonomous systems and advanced generative models that will redefine human-machine interaction.

In this role, you will not just use existing tools; you will help build them. You will work on high-impact projects involving large-scale language models, multimodal AI, and reinforcement learning. You will be part of a team that values curiosity, speed, and ethical innovation.

Responsibilities

  • Design and implement novel deep learning architectures tailored for the Future Tech landscape.
  • Research and optimize Large Language Models (LLMs) for real-time, high-velocity applications.
  • Bridge the gap between theoretical research and production-grade software engineering.
  • Conduct rigorous testing to ensure AI safety, bias mitigation, and ethical compliance.
  • Collaborate with cross-functional squads to integrate AI capabilities into scalable products.
  • Stay ahead of the curve by analyzing global AI trends and academic breakthroughs.

Qualifications

  • PhD or Master’s in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in machine learning research and software development.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Track record of research excellence, including publications at top-tier conferences (NeurIPS, ICML, ACL).
  • Experience deploying ML models in cloud environments (AWS, GCP, Azure).
  • Strong communication skills and the ability to articulate complex technical concepts to diverse audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Reinforcement Learning SQL Docker Kubernetes Cloud Computing

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