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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026 Technologies
San Francisco
Estimated Salary
USD 175.000 – USD 245.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join 2026 Technologies, a forward-thinking pioneer in the next generation of artificial intelligence. We are on a mission to redefine human-machine interaction by developing autonomous systems that are not only intelligent but also deeply integrated into the fabric of daily life. We are looking for a visionary Senior AI Engineer to join our elite engineering team in San Francisco.

In this role, you will be at the forefront of innovation, pushing the boundaries of what is possible with Large Language Models and Generative AI. You will work in a collaborative environment that values creativity, technical excellence, and the courage to tackle the impossible.

Responsibilities

  • Design and deploy scalable machine learning infrastructure capable of handling petabytes of data with sub-millisecond latency.
  • Lead the research and implementation of novel neural network architectures to improve model reasoning capabilities.
  • Collaborate closely with product teams to translate complex AI concepts into robust, user-friendly features.
  • Optimize model inference pipelines for edge devices and cloud environments, ensuring high efficiency and low energy consumption.
  • Establish and enforce best practices for data privacy, security, and ethical AI usage across the organization.
  • Mentor junior engineers and conduct technical code reviews to foster a culture of continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of experience in software engineering with a strong focus on AI/ML.
  • Expert knowledge of Python, PyTorch, TensorFlow, and JAX.
  • Deep experience with distributed systems, cloud platforms (AWS/GCP), and container orchestration (Kubernetes/Docker).
  • Proven ability to deploy and maintain large-scale production AI systems.
  • Strong communication skills and the ability to thrive in a fast-paced, dynamic startup environment.

Required Skills

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

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