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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Shaping the Future of Intelligence

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

Job Description

Are you ready to define the trajectory of artificial intelligence?

Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to spearhead our R&D initiatives. We are building the infrastructure that will power the world of 2026 and beyond. In this role, you won't just implement existing models; you will architect the next generation of autonomous systems, predictive analytics, and generative AI solutions. Join a team of world-class engineers pushing the boundaries of what's possible in machine learning.

Why Join Us?

  • Work on cutting-edge Large Language Models (LLMs) and generative AI agents.
  • Competitive equity package and top-tier healthcare benefits.
  • Flexible remote-first policy with a San Francisco HQ.
  • Access to the latest hardware for high-performance computing.

Responsibilities

  • Design, train, and deploy scalable machine learning models to production environments.
  • Lead the architectural strategy for our AI infrastructure, ensuring high availability and low latency.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Conduct research on novel algorithms to improve model accuracy and efficiency.
  • Mentor junior engineers and data scientists, fostering a culture of innovation.
  • Optimize data pipelines for large-scale data processing and training.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in Machine Learning Engineering or Data Science.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of MLOps, CI/CD for ML, and cloud platforms (AWS, GCP, or Azure).
  • Experience with LLMs, NLP, or Computer Vision is highly desirable.
  • Proven track record of shipping production-grade machine learning products.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP Machine Learning NLP LLMs Data Science

Ready to Take This Challenge?

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