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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer

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

Job Description

Join FutureTech 2026, a pioneer in next-generation artificial intelligence and predictive modeling. We are on a mission to engineer the technological breakthroughs of the year 2026 and beyond. As a Senior AI Research Engineer, you will lead the development of core algorithms that power our global ecosystem.

Located in the vibrant tech hub of San Francisco, you will collaborate with world-class engineers and data scientists to solve complex problems in natural language processing and computer vision. If you are passionate about the future of AI and want to leave a lasting legacy, we want to hear from you.

Why join FutureTech 2026?

  • Competitive compensation package and equity options.
  • Flexible remote and hybrid work policies.
  • Access to cutting-edge hardware and cloud resources.
  • Professional development and continuous learning opportunities.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models.
  • Analyze complex datasets to identify trends and optimize model performance.
  • Conduct research to stay ahead of industry trends in AI and deep learning.
  • Collaborate with product teams to translate research into scalable software solutions.
  • Mentor junior engineers and conduct code reviews to ensure best practices.
  • Document technical findings and present progress to stakeholders.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of deep learning architectures (CNNs, RNNs, Transformers).
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and attention to detail.

Required Skills

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

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