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Senior AI Engineer - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Vanguard of Innovation with Project 2026

Nexus Future Labs is at the forefront of the next industrial revolution. We are recruiting visionary engineers to lead Project 2026, our flagship initiative dedicated to deploying next-generation Generative AI architectures that redefine human-computer interaction. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want you on our team.

In this role, you will architect scalable machine learning pipelines, mentor a world-class engineering squad, and drive the strategic vision for our upcoming product suite. You will work in a high-performance environment where your code directly impacts millions of users globally.

Why Join Us?

  • Work on cutting-edge AI models that are shaping the future of the web.
  • Competitive compensation package with equity options.
  • Flexible hybrid work model based in our San Francisco HQ.

Responsibilities

  • Architect and optimize high-performance deep learning models for real-time inference.
  • Lead the end-to-end lifecycle of AI features, from data ingestion to model deployment.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Collaborate with cross-functional product teams to translate business requirements into technical solutions.
  • Experiment with novel architectures and algorithms to improve model accuracy and efficiency.
  • Ensure compliance with data privacy and ethical AI guidelines.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in software engineering or machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure), and MLOps practices.
  • Proven track record of shipping production-grade AI products.
  • Experience with LLMs, NLP, or Computer Vision is a significant plus.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning MLOps Distributed Systems NLP SQL

Ready to Take This Challenge?

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