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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

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

Job Description

Join the Architects of the Future.
We are Nexus Future Labs, a premier research organization defining the trajectory of Artificial Intelligence for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to lead our core research division in San Francisco. If you are passionate about building scalable, ethical, and high-performance AI systems that will shape human-machine interaction for the next decade, we want to hear from you.

In this role, you will bridge the gap between theoretical research and production-grade engineering, pushing the boundaries of what is possible with Generative AI and Predictive Analytics.

Responsibilities

  • Architect & Deploy: Design, train, and deploy state-of-the-art machine learning models on scalable cloud infrastructure.
  • Research & Innovation: Lead R&D initiatives focused on the next generation of neural architectures and natural language processing.
  • Optimization: Optimize models for high throughput and low latency to support real-time applications.
  • Collaboration: Partner with product managers and data scientists to translate complex research into user-friendly features.
  • Mentorship: Mentor junior engineers and foster a culture of technical excellence and continuous learning within the team.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in machine learning engineering and software development.
  • Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow. Experience with distributed computing systems (Kubernetes, Docker) and cloud platforms (AWS, GCP).
  • Domain Knowledge: Strong background in Large Language Models (LLMs), Computer Vision, or Reinforcement Learning.
  • Problem Solving: Ability to tackle complex, ambiguous problems with innovative, data-driven solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing Kubernetes AWS Data Science

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