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Senior AI Research Engineer (2026 Initiative)

Horizon AI Labs
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to shape the future of artificial intelligence? Horizon AI Labs is seeking a visionary Senior AI Research Engineer to join our exclusive 2026 Initiative. We are building the next generation of autonomous systems and generative models, and we need a technical leader to architect the solutions of tomorrow.

In this role, you will define the technical roadmap for our most ambitious projects, ensuring scalability, efficiency, and innovation. You will work in a collaborative, high-performance environment where cutting-edge research meets real-world application.

Responsibilities

  • Design and implement scalable machine learning pipelines and distributed systems for large-scale data processing.
  • Lead research initiatives focused on Generative AI, Reinforcement Learning, and LLM optimization.
  • Collaborate with product teams to translate complex research into deployable, production-grade software.
  • Establish architectural best practices and code standards for the 2026 Initiative team.
  • Mentor junior engineers and researchers, fostering a culture of technical excellence and innovation.
  • Optimize model training and inference performance to reduce latency and cost.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in AI/ML engineering or applied research.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Strong understanding of distributed computing, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or shipping impactful AI products.
  • Excellent verbal and written communication skills for cross-functional collaboration.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems AWS Docker Kubernetes Generative AI LLMs

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