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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the technological landscape of tomorrow? 2026 is a premier research and development firm pioneering the next generation of generative intelligence and autonomous systems. We are seeking a visionary Senior Artificial Intelligence Engineer to join our elite team in San Francisco. In this role, you will not just build models; you will architect the future of human-machine interaction.

At 2026, we believe in pushing the boundaries of what is possible. You will work in a high-performance environment focused on scalability, ethics, and breakthrough innovation. If you are passionate about Deep Learning, Natural Language Processing, and creating systems that have a tangible impact on the world, we want to hear from you.

Responsibilities

  • Design, develop, and deploy state-of-the-art deep learning models and NLP pipelines at scale.
  • Lead architectural decisions for large-scale AI infrastructure, ensuring high availability and low latency.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and establish best practices for code quality, testing, and deployment.
  • Research and evaluate emerging AI technologies to maintain a competitive edge.
  • Optimize existing models for performance, cost-efficiency, and real-time inference.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, with at least 2 years in a lead or senior capacity.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed computing systems (e.g., Kubernetes, Docker, AWS, GCP).
  • Proven track record of deploying production-grade models that handle high transaction volumes.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Docker Natural Language Processing (NLP) Deep Learning Machine Learning SQL Scikit-learn Linux

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