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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to engineer the future of intelligence? Nexus Future Labs is seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. We are building the next generation of Large Language Models (LLMs) and autonomous agents that will redefine human-computer interaction.


Why Join Us?

  • Work with state-of-the-art technology including PyTorch, TensorFlow, and Hugging Face.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in the heart of SF.

We are looking for a problem solver who thrives in ambiguity and pushes the boundaries of what's possible in Machine Learning.

Responsibilities

  • Model Development: Design, train, and deploy scalable machine learning models, with a focus on NLP and Deep Learning architectures.
  • Research: Stay at the forefront of AI research, implementing novel algorithms to improve model performance and efficiency.
  • Production Engineering: Optimize model inference latency and throughput for high-volume production environments.
  • Collaboration: Partner with Data Scientists, Product Managers, and Software Engineers to integrate AI solutions into core products.
  • Mentorship: Guide junior engineers and provide technical leadership on best practices in AI/ML engineering.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience).
  • Experience: 5+ years of experience in Machine Learning, Deep Learning, or AI engineering.
  • Tools: Proficiency in Python, C++, and experience with frameworks like PyTorch or TensorFlow.
  • Knowledge: Strong understanding of MLOps, model versioning (MLflow), and cloud infrastructure (AWS/GCP).
  • Communication: Excellent verbal and written communication skills to bridge the gap between technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Deep Learning MLOps AWS GCP Docker Kubernetes

Ready to Take This Challenge?

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

Apply Now

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