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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer 2026

NeuroFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the future of Artificial Intelligence in 2026?


NeuroFuture Systems is seeking a visionary Senior AI Engineer to architect the next generation of autonomous systems and generative AI models. As we prepare for the next era of technological evolution, we need a technical leader who is passionate about pushing the boundaries of neural networks and machine learning algorithms.


In this role, you will be at the forefront of R&D, working on projects that will define the industry standard for the year 2026 and beyond. You will collaborate with a world-class team of data scientists, researchers, and engineers to build scalable, efficient, and ethical AI solutions.


Why join us?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a hub in San Francisco.
  • Continuous learning budget and access to top-tier tech stacks.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms focused on the 2026 roadmap.
  • Optimize neural network architectures for high-scale inference and training efficiency.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product features.
  • Conduct research on emerging AI trends, including reinforcement learning and federated learning.
  • Ensure model robustness, fairness, and interpretability in production environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5+ years of professional experience in AI/ML engineering and software development.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of deep learning frameworks, natural language processing (NLP), and computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of delivering scalable AI products to market.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch AWS AI Data Science Generative AI Neural Networks Cloud Computing Docker Kubernetes

Ready to Take This Challenge?

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