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Senior AI Engineer - San Francisco

Nexus Intelligence Labs
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join the Future of Intelligence.

Nexus Intelligence Labs is at the forefront of Artificial General Intelligence research. We are seeking a visionary Senior AI Engineer to architect and deploy scalable machine learning systems that will redefine human-computer interaction. If you are passionate about pushing the boundaries of what's possible with neural networks and deep learning, we want to hear from you.

We offer a competitive compensation package, equity opportunities, and a collaborative environment where innovation is the only metric that matters.

Responsibilities

  • Model Architecture: Design, implement, and optimize state-of-the-art deep learning models for NLP and Computer Vision applications.
  • System Optimization: Lead efforts to reduce inference latency and increase throughput in high-scale production environments.
  • MLOps: Establish robust CI/CD pipelines for machine learning models, ensuring automated retraining and deployment processes.
  • Research Integration: Translate cutting-edge research papers into production-ready code and evaluate novel algorithms.
  • Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural discussions.
  • Data Strategy: Collaborate with data engineering teams to curate high-quality datasets for model training and validation.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, or equivalent practical experience.
  • Core Tech: Extensive experience with PyTorch or TensorFlow.
  • Specialization: Deep experience with Large Language Models (LLMs), Transformers, or Generative AI architectures.
  • Programming: Proficiency in Python and C++ for high-performance computing tasks.
  • Production Experience: Track record of deploying ML models serving millions of requests daily.
  • Problem Solving: Strong mathematical background in linear algebra, calculus, and statistics.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Docker Kubernetes SQL

Ready to Take on This Challenge?

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