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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

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

Job Description

We are 2026, a forward-thinking technology firm dedicated to redefining the boundaries of artificial intelligence. We are looking for a world-class Senior AI Engineer to join our elite team in San Francisco. As a key player in our R&D division, you will be instrumental in developing cutting-edge neural architectures that power our proprietary platforms. This is a unique opportunity to work at the intersection of creativity and code, influencing the trajectory of AI for the next decade.

Why Join Us?

  • Impact: Work on high-impact projects that redefine industry standards.
  • Growth: Mentor junior engineers and lead technical strategy.
  • Environment: Collaborate with top-tier talent in a dynamic, fast-paced setting.

Responsibilities

  • Design, implement, and deploy state-of-the-art machine learning models and neural networks.
  • Lead the architecture of scalable AI pipelines and data infrastructure.
  • Conduct cutting-edge research to stay ahead of industry trends and competitor innovations.
  • Mentor and guide a team of data scientists and ML engineers.
  • Collaborate with cross-functional teams including product managers and software engineers.
  • Optimize models for low-latency, high-throughput inference in production environments.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering and research.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP AWS Docker Kubernetes

Ready to Take This Challenge?

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