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Senior AI Engineer | 2026 Systems | San Francisco, CA

2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to architect the intelligent infrastructure of tomorrow? 2026 Systems is at the forefront of next-generation artificial intelligence, building scalable solutions that redefine human-machine interaction. We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco.


In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering, deploying models that drive billions of interactions. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.


Why Join Us?

  • Work on cutting-edge projects that shape the future of technology.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a vibrant in-office culture in SF.

Responsibilities

  • Design and implement state-of-the-art machine learning pipelines and scalable distributed systems.
  • Collaborate with cross-functional teams of data scientists, product managers, and designers to define AI product requirements.
  • Optimize existing models for inference speed, latency, and accuracy in high-traffic environments.
  • Conduct research into emerging architectures and novel algorithms to maintain a competitive edge.
  • Mentor junior engineers and conduct code reviews to uphold high engineering standards.
  • Ensure data integrity, security, and compliance across all AI deployment workflows.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning, deep learning, or software engineering.
  • Proficiency in Python, PyTorch, or TensorFlow with a strong understanding of deep learning frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to debug complex system architectures.
  • Excellent written and verbal communication skills for technical and non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning AWS PyTorch TensorFlow Distributed Systems Kubernetes Docker NLP

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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