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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer

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

Job Description

We are seeking a visionary Senior AI Research Engineer to join our elite team at 2026 Technologies. In this role, you will be at the forefront of building the intelligent systems that will define the future of human-computer interaction. If you are passionate about pushing the boundaries of machine learning and want to work on projects that will have a lasting impact on the world, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models to solve complex, real-world problems.
  • Collaborate with cross-functional teams of engineers, designers, and product managers to define product requirements and architecture.
  • Optimize and fine-tune existing neural networks to improve accuracy and reduce computational latency.
  • Conduct cutting-edge research in natural language processing and computer vision to stay ahead of industry trends.
  • Mentor junior data scientists and provide technical guidance on best practices in AI development.
  • Write clean, maintainable, and efficient code, primarily in Python and TensorFlow/PyTorch.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field (PhD preferred).
  • 5+ years of professional experience in machine learning, deep learning, or data science.
  • Strong proficiency in Python, C++, or Java with a deep understanding of algorithms and data structures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR) or contributing to open-source AI projects.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile startup environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Natural Language Processing Computer Vision AWS Docker Kubernetes

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