Job Description
We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As a leader in the Generative AI space, Nebula Innovations is pushing the boundaries of what is possible with Large Language Models (LLMs) and Computer Vision. You will be responsible for designing, training, and deploying scalable machine learning systems that power our next-generation products.
If you are passionate about the future of technology and want to work on problems that impact millions of users, we want to hear from you.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models, including Transformers and diffusion models.
- Deployment: Engineer robust MLOps pipelines to deploy models to production environments with high availability and low latency.
- Research: Stay at the forefront of AI research, implementing novel architectures and techniques to improve model performance.
- Collaboration: Partner with product managers, data scientists, and engineers to translate business requirements into technical solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of experience in software engineering or machine learning, specifically with Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Technical Skills: Proficiency in distributed computing systems (Spark, Kubernetes) and cloud platforms (AWS, GCP, Azure).
- LLM Expertise: Proven experience working with Large Language Models (GPT, BERT, Llama) and RAG architectures.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.