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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer 2026 | San Francisco

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

Job Description

We are looking for a visionary Senior AI/ML Engineer to spearhead our 2026 technology roadmap. At Nexus Core Systems, we are building the infrastructure for the next generation of autonomous agents and generative intelligence. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and predictive analytics, we want to meet you.

In this role, you will not just implement existing models; you will architect novel solutions for complex, real-world problems. You will work in a fast-paced environment where your code directly impacts millions of users. We offer a competitive package, equity options, and the chance to define the future of technology.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and model training workflows.
  • Lead research initiatives into next-generation generative AI, focusing on LLM fine-tuning and Retrieval-Augmented Generation (RAG).
  • Optimize model inference for low-latency, high-volume production environments.
  • Collaborate with product managers and data scientists to define AI features and product roadmaps.
  • Establish and maintain MLOps best practices to ensure model reproducibility and monitoring.
  • Stay abreast of the latest advancements in AI research and integrate cutting-edge techniques into our stack.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related technical field (or equivalent professional experience).
  • 5+ years of professional experience in Machine Learning, AI, or Data Engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Deep Learning architectures, NLP, and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a collaborative, agile environment.

Required Skills

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

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