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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the future of technology?

2026 is seeking a visionary Senior Artificial Intelligence Engineer to join our elite R&D team. We are building the infrastructure for a world where artificial intelligence seamlessly integrates with daily life. In this role, you won't just write code; you will architect the neural pathways of tomorrow.

As a key player in our organization, you will bridge the gap between theoretical machine learning research and scalable production systems. You will work with cutting-edge LLMs, generative AI models, and predictive analytics to solve complex, high-impact problems.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and deep learning architectures.
  • Lead the full machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Optimize models for speed, accuracy, and efficiency to ensure real-time performance in production environments.
  • Research and implement novel algorithms to stay ahead of industry trends in AI and automation.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 5 years of professional experience in machine learning engineering or data science.
  • Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Docker Kubernetes Data Science

Ready to Take This Challenge?

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