Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nebula AI Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligence? Nebula AI Systems is seeking a visionary Senior AI Engineer to join our elite engineering team. We are at the forefront of developing next-generation artificial intelligence solutions that redefine human-machine interaction. If you thrive in a fast-paced, high-impact environment and possess a deep understanding of machine learning algorithms, we want to hear from you.

In this role, you will lead the development of scalable AI models, mentor junior engineers, and drive innovation across our product suite. You will work directly with C-level stakeholders to define technical roadmaps and ensure our AI architectures are robust, efficient, and ethically sound.

Responsibilities

  • Design, develop, and deploy state-of-the-art Machine Learning and Deep Learning models for real-world applications.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize AI models for speed, accuracy, and scalability; implement MLOps best practices for model deployment and monitoring.
  • Conduct rigorous code reviews, architecture planning, and technical mentoring for the engineering team.
  • Stay ahead of industry trends in AI research and apply cutting-edge techniques to improve system performance.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a strong focus on Python and Deep Learning frameworks (PyTorch, TensorFlow, or JAX).
  • Proven experience in deploying large-scale ML models in production environments using cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning (depending on specialization).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and data pipeline technologies (Airflow, Spark).

Required Skills

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

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