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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer - Generative AI

Nexus AI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Are you passionate about the future of artificial intelligence? Nexus AI Labs is looking for a Senior Machine Learning Engineer to lead the development of our next-generation generative AI models.

We are building the infrastructure that powers the next era of human-computer interaction. In this role, you will work on state-of-the-art Large Language Models (LLMs), optimizing for efficiency, accuracy, and scalability.

Why Join Us?

  • Work on cutting-edge Generative AI research.
  • Competitive compensation and equity package.
  • Remote-first culture with top-tier engineering talent.

Ready to shape the future? Apply today.

Responsibilities

  • Design, train, and deploy complex machine learning models.
  • Optimize inference speed and resource utilization for large-scale models.
  • Collaborate with data scientists to define model architecture and training strategies.
  • Implement MLOps pipelines for automated model retraining and deployment.
  • Conduct rigorous experimentation and A/B testing to improve model performance.
  • Stay current with the latest research in Natural Language Processing (NLP) and Deep Learning.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning or AI engineering.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with LLMs, Transformers, and fine-tuning techniques.
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of statistics, linear algebra, and optimization theory.

Required Skills

Python PyTorch TensorFlow NLP LLMs SQL AWS Docker MLOps Machine Learning

Ready to Take on This Challenge?

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

Apply Now

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