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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - San Francisco, CA

Nexus Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are looking for a visionary Senior AI Engineer to join Nexus Innovations and lead the next generation of intelligent systems. In this role, you will architect and deploy scalable machine learning models that solve complex business problems. You will work at the intersection of research and production, collaborating with cross-functional teams to integrate AI capabilities into our core product suite. If you are passionate about the future of technology and have a knack for solving difficult problems, we want to hear from you.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first culture with a hub in San Francisco.
  • Access to cutting-edge hardware and research tools.
  • Professional development budget for conferences and courses.

Responsibilities

  • Design, train, and deploy advanced machine learning models, with a focus on Large Language Models (LLMs) and computer vision.
  • Collaborate with data scientists and software engineers to integrate AI models into production APIs and user interfaces.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Conduct rigorous testing and validation to ensure model accuracy, fairness, and robustness.
  • Mentor junior engineers and provide technical guidance on best practices in AI/ML engineering.
  • Stay abreast of the latest research in deep learning and implement novel techniques to improve system performance.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in software engineering or machine learning engineering.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with MLOps pipelines, model versioning, and CI/CD for ML.
  • 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 MLOps AWS Docker Kubernetes SQL

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