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Senior AI Engineer (Project 2026)

Project 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future?

Project 2026 is a premier research initiative focused on the next generation of Artificial General Intelligence. We are looking for a highly skilled Senior AI Engineer to lead the development of scalable, robust, and ethical AI systems. You will work alongside top-tier researchers and engineers to push the boundaries of what is possible in machine learning and neural architecture. This is an opportunity to define the standard for AI development in the coming years.

Why Join Us?

  • Work on cutting-edge technology that impacts millions.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture.
  • Access to state-of-the-art computing resources.

Responsibilities

  • Design and implement scalable machine learning pipelines and infrastructure.
  • Lead the research and deployment of large language models (LLMs) and generative AI tools.
  • Optimize model performance, accuracy, and inference latency.
  • Collaborate with cross-functional teams (product, design, data science) to define technical requirements.
  • Conduct code reviews, technical mentoring, and architecture reviews for junior engineers.
  • Stay abreast of the latest advancements in AI research and integrate them into our stack.
  • Ensure ethical AI practices and data privacy compliance across all projects.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering or research.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/K8s).
  • Proven track record of deploying production-grade machine learning models.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing AWS Docker Kubernetes MLOps

Ready to Take This Challenge?

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

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