Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nebula AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are building the future. Nebula AI Labs is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation artificial intelligence systems designed for the 2026 era. You will be at the forefront of Generative AI, Large Language Models (LLMs), and autonomous agents, shaping the technology that will define the next decade.

In this role, you will bridge the gap between cutting-edge research and scalable production systems. We value engineers who are not just coders, but architects of intelligence. If you are passionate about solving complex problems and pushing the boundaries of what is possible in AI, we want to hear from you.

Why Join Us?

  • Work on projects that directly impact the future of global industries.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Architect & Deploy: Design, train, and deploy scalable machine learning models and neural networks for production environments.
  • Research & Innovation: Conduct research into novel AI methodologies, including LLM fine-tuning, reinforcement learning, and computer vision.
  • MLOps Pipeline: Build and maintain robust MLOps pipelines to ensure model reliability, monitoring, and continuous integration.
  • Strategic Guidance: Provide technical leadership and mentorship to junior engineers and data scientists on the team.
  • Collaboration: Partner with product managers and data scientists to translate business requirements into technical AI solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Data Science.
  • Programming: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Cloud Expertise: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Problem Solving: Proven track record of solving complex mathematical and algorithmic problems.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP Docker Kubernetes Statistics Linear Algebra

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