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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

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

Job Description

We are on a mission to define the technological landscape of the future. As a key member of the Project 2026 initiative, you will architect and deploy state-of-the-art artificial intelligence systems designed to solve the complex challenges of tomorrow. We are seeking a visionary Senior AI Engineer who thrives in a high-performance environment and is passionate about pushing the boundaries of machine learning.

In this role, you will not just write code; you will shape the cognitive architecture of our products. You will work with a world-class team of data scientists, engineers, and strategists to build scalable, ethical, and robust AI solutions that have a tangible impact on the industry.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and neural networks for complex real-world applications.
  • Lead the end-to-end lifecycle of AI projects, from data ingestion and model training to deployment and monitoring at scale.
  • Collaborate closely with product managers and engineering teams to translate business requirements into technical AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Ensure the ethical use of AI, focusing on bias mitigation, fairness, and transparency in model outputs.
  • Optimize existing ML pipelines to improve accuracy, speed, and resource efficiency.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
  • 5+ years of professional experience in machine learning engineering, NLP, or Computer Vision.
  • Proficiency in programming languages such as Python, with deep knowledge of frameworks like PyTorch, TensorFlow, or JAX.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven experience with big data technologies (Spark, Hadoop) and data processing pipelines.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning NLP Computer Vision AWS GCP Docker Kubernetes Spark

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