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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to architect the next generation of intelligent systems. As we prepare for the technological landscape of 2026, you will lead the development of cutting-edge Generative AI and Large Language Model (LLM) applications that redefine industry standards.

In this role, you will bridge the gap between theoretical research and scalable production engineering. You will work alongside a world-class team of data scientists and researchers to build ethical, efficient, and robust AI solutions that power our global platform.

Why Join Us?

  • Work on future-ready technology stacks.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium San Francisco benefits.

Join us in shaping the future of technology.

Responsibilities

  • Design and implement scalable Machine Learning pipelines and infrastructure for the 2026 era.
  • Research, fine-tune, and deploy state-of-the-art Large Language Models (LLMs) using PyTorch and TensorFlow.
  • Collaborate with cross-functional teams to integrate AI models into production web and mobile applications.
  • Optimize model inference speed and reduce latency in high-traffic environments.
  • Mentor junior engineers and establish best practices for MLOps and data governance.
  • Stay ahead of AI trends to drive innovation and competitive advantage.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
  • Expert proficiency in Python and experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with vector databases (Pinecone, Milvus) and RAG architectures.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM AWS Docker Kubernetes MLOps San Francisco California

Ready to Take This Challenge?

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