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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer at 2026 | San Francisco, CA

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of artificial intelligence? 2026 is a pioneering technology firm dedicated to building the next generation of intelligent systems. We are looking for a brilliant Senior AI Engineer to join our elite engineering team in San Francisco.

In this pivotal role, you will not just write code; you will architect the neural networks and algorithms that define how machines interact with the world. If you are passionate about pushing the boundaries of what's possible and want to work on projects that redefine the industry, we want to hear from you.

Why join 2026?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Competitive equity package and top-tier benefits.
  • Collaborate with world-class researchers and engineers.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and neural networks.
  • Conduct research to identify new AI opportunities and optimize existing algorithms for performance and accuracy.
  • Collaborate with cross-functional teams (Product, Data Science, Engineering) to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research and integrate relevant innovations into our product suite.
  • Ensure model reliability, scalability, and security in production environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 5+ years of professional experience in machine learning engineering, AI, or a similar role.
  • Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of shipping production-grade machine learning systems.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP AWS Docker Kubernetes Generative AI

Ready to Take This Challenge?

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