Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Nebula Dynamics is revolutionizing the way industries interact with data through advanced Artificial Intelligence. We are looking for a visionary Senior AI Engineer to join our elite engineering team. In this role, you will spearhead the development of scalable machine learning models and generative AI solutions that power our next-generation products. If you are passionate about pushing the boundaries of what's possible in AI and want to work in a fast-paced, innovative environment, we want to hear from you.

As a key member of our technical staff, you will collaborate with cross-functional teams to design, train, and deploy state-of-the-art neural networks. We value creativity, technical excellence, and the ability to solve complex problems in a dynamic setting.

Responsibilities

  • Design, implement, and optimize end-to-end machine learning pipelines for production environments.
  • Research and prototype novel deep learning architectures, particularly in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with data scientists and product managers to define AI requirements and translate them into technical specifications.
  • Perform rigorous testing and validation to ensure model accuracy, reliability, and scalability.
  • Stay current with the latest advancements in AI research and integrate cutting-edge techniques into our technology stack.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying models.
  • Strong proficiency in Python and deep frameworks such as PyTorch or TensorFlow.
  • Extensive experience with big data technologies (e.g., Spark, Kafka) and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of machine learning fundamentals, including statistical analysis, model training, and validation.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing AWS GCP Spark SQL Agile Scrum

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