Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026 | San Francisco, CA

Nebula Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future of autonomous intelligence? Nebula Innovations is seeking a visionary Senior AI Engineer to join the elite Project 2026 initiative. We are building the next generation of predictive systems designed to operate seamlessly in complex, real-world environments.

Why Join Us?

At Nebula, we don't just predict the future; we engineer it. As part of Project 2026, you will have the unique opportunity to work on cutting-edge Large Language Models (LLMs) and reinforcement learning frameworks that will redefine human-machine interaction. We offer a competitive compensation package, equity options, and a remote-first culture that prioritizes innovation and impact.

Responsibilities

  • Design & Deploy: Architect and implement scalable machine learning models using Python and TensorFlow to support the 2026 infrastructure.
  • Model Optimization: Fine-tune and optimize deep learning pipelines for high-throughput, low-latency data processing in production environments.
  • Data Strategy: Lead the data engineering team in curating high-quality training datasets and implementing robust data governance protocols.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and security experts to define technical requirements and roadmap deliverables.
  • R&D: Conduct research into emerging AI methodologies to stay ahead of industry trends and integrate novel features into the 2026 core.

Qualifications

  • Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: 5+ years of professional experience in software engineering with a strong focus on AI/ML development.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Problem Solving: Proven track record of solving complex engineering challenges in high-stakes environments.
  • Communication: Excellent ability to communicate technical concepts to non-technical stakeholders and mentor junior engineers.

Required Skills

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

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