Home Job Details
A
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Apex Neural Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join the Future of Intelligence at Apex Neural Systems

We are a cutting-edge research lab dedicated to advancing the frontiers of Artificial Intelligence. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. You will be at the forefront of developing Large Language Models (LLMs) and generative AI systems that will redefine human-machine interaction.

In this role, you won't just be writing code; you will be architecting the neural architectures that power the next generation of applications. We offer a competitive compensation package, equity packages, and the opportunity to work with world-class researchers and engineers.

Responsibilities

  • Design, develop, and deploy state-of-the-art deep learning models, focusing on NLP and Computer Vision.
  • Optimize existing models for production environments, ensuring high accuracy and low latency.
  • Collaborate with cross-functional teams to integrate AI solutions into scalable software products.
  • Conduct cutting-edge research to stay ahead of the curve in AI trends and methodologies.
  • Lead code reviews and mentor junior engineers, fostering a culture of innovation and excellence.
  • Mentorship of data science interns and junior researchers.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer architectures, attention mechanisms, and LLMs.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes NLP LLM Machine Learning Deep Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All