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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are Nexus Future Systems, a pioneering force in next-generation artificial intelligence. We are seeking a visionary Senior AI/ML Engineer to lead our research and development efforts in the rapidly evolving landscape of Generative AI and Large Language Models.

If you are passionate about building scalable, robust, and ethical AI systems that define the future of technology, we want to meet you. This role offers the opportunity to work on cutting-edge projects that will shape the industry for the next decade.

Responsibilities

  • Architect and Develop: Design and implement state-of-the-art machine learning models and deep learning architectures.
  • Research & Innovation: Conduct rigorous research to stay ahead of industry trends, specifically focusing on LLMs and Reinforcement Learning.
  • Production Deployment: Translate research findings into scalable production-grade APIs and microservices.
  • Collaboration: Work closely with cross-functional teams of data scientists, product managers, and engineers.
  • Optimization: Optimize model performance, latency, and cost efficiency for cloud environments.
  • Mentorship: Guide and mentor junior engineers and data scientists to foster a culture of excellence.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Frameworks: Strong experience with Hugging Face, LangChain, or similar AI orchestration frameworks.
  • Cloud: Experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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