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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2026 Vision)

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Build the Future of Intelligence with Us

Are you ready to define the technological landscape of 2026? Nexus Horizons is seeking a visionary Senior AI & Machine Learning Engineer to spearhead our next-generation research initiatives. In this pivotal role, you will not just build models; you will architect the cognitive systems that will power enterprises a decade from now. We are looking for a technical leader who is obsessed with innovation, scalability, and ethical AI.

Why Join Us?

  • Work at the bleeding edge of Generative AI and Autonomous Systems.
  • Competitive salary and equity package reflecting your high-impact potential.
  • Access to state-of-the-art hardware and cloud infrastructure.
  • A culture that prioritizes deep work, creativity, and long-term thinking.

Responsibilities

  • Lead the 2026 AI Roadmap: Architect and implement advanced Large Language Models (LLMs) and multi-modal AI systems specifically designed for the predictive needs of 2026.
  • Agentic AI Development: Design autonomous agents capable of complex reasoning, planning, and executing tasks without human intervention.
  • Scalable Infrastructure: Build high-performance, distributed inference pipelines capable of handling millions of requests per second with zero latency.
  • AI Governance & Safety: Implement robust safety protocols, bias mitigation strategies, and ethical frameworks to ensure responsible AI deployment.
  • Research & Prototyping: Publish white papers and patents on novel architectures, focusing on energy-efficient deep learning and neuromorphic computing.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in building production-grade AI/ML systems, with a strong focus on Deep Learning.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • System Design: Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and Kubernetes.
  • Future-Proof Mindset: Demonstrated ability to research and integrate emerging technologies (e.g., Quantum ML, Edge AI) into practical applications.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Distributed Systems Cloud Computing Kubernetes AWS AI Ethics

Ready to Take This Challenge?

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

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