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Senior AI Research Engineer (2026 Horizon)

Horizon Systems
Seattle
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Horizon Systems is at the forefront of the AI revolution, developing the next generation of generative models and autonomous agents. We are seeking a visionary Senior AI Research Engineer to join our elite R&D division in Seattle.

In this role, you won't just write code; you will architect the future. You will lead the development of cutting-edge algorithms that bridge the gap between human intent and machine execution, ensuring our platforms are scalable, ethical, and revolutionary.

Why Join Us?

  • Work on projects that directly shape the AI infrastructure of tomorrow.
  • Competitive salary and equity packages.
  • Flexible work environment with remote-first culture.
  • Access to state-of-the-art compute resources.

Responsibilities

  • Architect Next-Gen Models: Design and implement state-of-the-art deep learning architectures for Large Language Models (LLMs) and Multimodal AI systems.
  • Optimize Inference Pipelines: Engineer high-performance inference engines to ensure low-latency, high-throughput AI deployment at scale.
  • Research & Development: Explore novel approaches in reinforcement learning, few-shot learning, and causal inference to solve complex industry problems.
  • System Design: Collaborate with MLOps teams to build robust, scalable data pipelines and model serving architectures.
  • Mentorship: Lead a team of junior researchers and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 5+ years of professional experience in machine learning research or applied AI engineering.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; extensive experience with GPU acceleration (CUDA).
  • Domain Knowledge: Deep understanding of Transformer models, attention mechanisms, and neural network optimization.
  • Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs Natural Language Processing MLOps CUDA Reinforcement Learning Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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