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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer & Machine Learning Specialist

NeuroCore Systems
San Francisco
Salary Estimate
USD 160.000 – USD 240.000
Latest
Live Update
1 Juni 2026
Deadline
2 Jun 2027

Job Description

Shape the Future of Intelligence.

NeuroCore Systems is pioneering the next generation of artificial intelligence, and we are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. If you are passionate about building scalable, high-impact machine learning systems and have a knack for solving complex algorithmic challenges, this is your opportunity to lead the charge.

As a Senior AI Engineer, you will be responsible for designing and deploying state-of-the-art neural networks that power our core products. You will work in a fast-paced, collaborative environment where innovation is encouraged, and your code will directly impact millions of users worldwide.

Why Join NeuroCore?

  • Work with cutting-edge technology in Deep Learning and Natural Language Processing.
  • Competitive compensation package with equity options.
  • Flexible remote/hybrid work culture.
  • Continuous learning and professional development budget.

Responsibilities

  • Design, train, and deploy state-of-the-art deep learning models (Transformers, CNNs, RNNs) for real-world applications.
  • Collaborate with product managers and data scientists to define and execute AI strategy.
  • Optimize model inference speed and accuracy, ensuring scalability on cloud infrastructure.
  • Conduct research to explore new algorithms and methodologies in the AI space.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.
  • Implement robust MLOps pipelines for model monitoring and version control.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of statistics, probability, and linear algebra.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Deep Learning Machine Learning NLP Computer Vision AWS MLOps Docker Kubernetes SQL Scikit-learn

Ready to Take on This Challenge?

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