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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

2026 Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the technological landscape of tomorrow? 2026 Systems is a cutting-edge AI research lab dedicated to defining the next generation of intelligent systems. We are seeking a visionary Senior Artificial Intelligence Engineer to spearhead our core model development and deploy scalable AI solutions that will define the future.

In this role, you will not just write code; you will engineer the future. We are working on breakthrough technologies for the year 2026 and beyond, and we need a leader who thrives in ambiguity and complexity to build the systems of tomorrow.

Responsibilities

  • Design and implement robust machine learning pipelines and neural network architectures tailored for high-scale production environments.
  • Optimize existing models for performance, latency, and accuracy, ensuring seamless integration into our core platforms.
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers to translate complex business requirements into technical AI solutions.
  • Conduct cutting-edge research to stay ahead of industry trends in Generative AI, Large Language Models, and autonomous systems.
  • Mentor junior engineers and foster a culture of technical excellence, innovation, and continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python and deep frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed systems, cloud infrastructure (AWS, GCP, or Azure), and MLOps best practices.
  • Proven track record of deploying production-ready AI models and managing the full machine learning lifecycle.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI MLOps AWS GCP System Design

Ready to Take This Challenge?

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