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Senior AI Research Engineer - 2026 Protocol

Synapse Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to architect the future of intelligence? Synapse Horizon is seeking a visionary AI Research Engineer to spearhead the development of the 2026 Protocol—our proprietary neural framework designed to solve complex adaptive systems and autonomous decision-making processes. This is not just a job; it is a mission to redefine the boundaries of machine learning and quantum integration.

We are a fast-paced, elite engineering team operating at the bleeding edge of technology. If you possess an insatiable curiosity and the technical prowess to build systems that learn, adapt, and evolve, we want to meet you.

Responsibilities

  • Architect Neural Architectures: Design and implement cutting-edge deep learning models tailored for the 2026 Protocol, focusing on scalability and high-performance inference.
  • Quantum Integration: Collaborate with quantum computing specialists to integrate quantum algorithms into classical neural networks for enhanced computational power.
  • Research & Development: Stay at the forefront of AI advancements, researching new methodologies in Natural Language Processing (NLP) and Reinforcement Learning to drive product innovation.
  • Model Optimization: Perform rigorous testing and optimization to ensure low-latency performance in high-stakes environments.
  • Cross-Functional Leadership: Mentor junior engineers and work closely with product managers to translate theoretical research into production-ready features.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: Minimum of 5 years of professional experience in AI/ML engineering, with a proven track record of deploying large-scale models.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with quantum computing frameworks (e.g., Qiskit, Cirq).
  • Algorithm Expertise: Deep understanding of transformer architectures, graph neural networks, or generative models.
  • Problem Solving: Ability to deconstruct complex problems and devise elegant, efficient solutions in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow Quantum Computing Machine Learning Deep Learning NLP Reinforcement Learning SQL

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