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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer (Future Tech Focus)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join Nexus Horizon and architect the artificial intelligence systems that will define the landscape in 2026 and beyond. You will be at the forefront of Generative AI, Large Language Models (LLMs), and next-generation neural architectures.

In this pivotal role, you will move beyond standard model deployment to building proprietary systems that push the boundaries of what is possible in machine reasoning and creative synthesis. You will work in a high-performance environment with access to cutting-edge compute resources, collaborating with world-class researchers and engineers.

What you'll do:

We are looking for a builder who is obsessed with efficiency, scalability, and innovation.

Why Nexus Horizon?

  • Competitive base salary and substantial equity participation.
  • Unlimited PTO and comprehensive health benefits.
  • State-of-the-art hardware and cloud infrastructure support.
  • Opportunity to define the roadmap for our AI products.

Responsibilities

  • Design, train, and fine-tune state-of-the-art Transformer and Diffusion models from scratch.
  • Optimize inference pipelines for low-latency, high-throughput deployment on distributed GPU clusters.
  • Research and implement novel training techniques to improve model efficiency and accuracy.
  • Collaborate with cross-functional product teams to integrate complex AI capabilities into consumer applications.
  • Establish best practices for MLOps, model monitoring, and ethical AI governance.
  • Mentor junior data scientists and engineering talent within the AI research division.

Qualifications

  • Ph.D. or M.S. in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
  • Proficient in Python and experience with PyTorch or TensorFlow.
  • Proven track record of working with LLMs (e.g., GPT, LLaMA, Mistral) and RAG architectures.
  • Strong understanding of distributed systems, optimization techniques, and parallel computing.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python PyTorch TensorFlow LLMs NLP Machine Learning Deep Learning AI Generative AI San Francisco California Remote

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