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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer: 2026 Visionary

Quantum Horizons
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the future of artificial intelligence? Quantum Horizons is seeking a visionary Senior AI/ML Engineer to lead our 2026 roadmap initiatives. We aren't just building models; we are defining the technical and ethical standards for the next era of generative computing.

In this pivotal role, you will design and deploy the next generation of Large Language Models (LLMs) and Agentic AI systems. We are looking for a thought leader who thrives on solving complex problems and pushing the boundaries of what's possible in machine learning.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable infrastructure for LLMs and Multimodal AI systems aligned with 2026 industry standards.
  • Research & Development: Spearhead research in Reinforcement Learning from Human Feedback (RLHF) and advanced prompt engineering techniques.
  • Model Optimization: Reduce latency and improve inference accuracy for real-time applications across cloud and edge environments.
  • Ethical AI Leadership: Establish robust guardrails for bias mitigation, safety, and transparency in all AI deployments.
  • Collaboration: Partner with product and engineering teams to integrate AI agents seamlessly into complex enterprise workflows.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: 7+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing (NLP).
  • Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Spark).
  • Architecture: Deep understanding of Transformer architectures, Vector Databases, and MLOps pipelines.
  • Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow NLP Deep Learning MLOps AWS GCP LLM Generative AI Transformer Models

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