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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Engineer - San Francisco, CA

Nexus Horizon 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 Engineer to join our elite technical team in San Francisco. As we architect the next generation of intelligent systems, your expertise in machine learning and deep learning will be pivotal in shaping our roadmap for 2026 and beyond.

In this role, you will bridge the gap between cutting-edge research and production-grade applications. You will work in a collaborative environment where innovation is encouraged, and your code will have a direct impact on millions of users worldwide.

Why Join Us?
We offer competitive compensation, equity packages, and a culture that prioritizes continuous learning and technical excellence.

Responsibilities

  • Design & Deploy: Architect and deploy scalable machine learning models and deep learning pipelines using Python and modern cloud infrastructure (AWS/GCP).
  • Research: Stay at the forefront of AI trends, implementing state-of-the-art algorithms to solve complex business problems.
  • Optimization: Focus on model efficiency, reducing latency, and optimizing inference costs in high-traffic environments.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of technical growth and best practices within the team.
  • Collaboration: Work closely with product managers, engineers, and stakeholders to translate business requirements into technical AI solutions.
  • Infrastructure: Manage the full machine learning lifecycle, from data ingestion and preprocessing to model monitoring and retraining.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related technical field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of MLOps and containerization (Docker, Kubernetes).
  • Statistics: Solid foundation in statistical modeling, probability, and linear algebra.
  • Problem Solving: Exceptional ability to debug complex systems and optimize performance under tight constraints.
  • Communication: Excellent written and verbal communication skills; capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Docker Kubernetes AWS Natural Language Processing SQL

Ready to Take This Challenge?

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