Artificial Intelligence/Machine Learning Engineer - LLM/Generative AI

Description :

At Yupp, you will experience both the excitement of building for a large-scale global user base and for the deeply technical audience of AI model builders and researchers.

You'll get immersed in and learn all about the latest and greatest AI models and agents.

You'll interact with AI builders and researchers from other AI labs all around the world.

We are a mostly in-person startup, but we are also flexible - you can usually work from home when you need to and come in and leave when you want to.

Many employees work from home on average 1 day a week.

Responsibilities :

- Stay up to date on emerging trends in GenAI and LLM advancements, identifying opportunities for application within the company.

- Design, build, and maintain LLM applications that meet high performance and reliability standards.

- Own the full ML lifecycle, including data analysis, preprocessing, model architecture, training, evaluation, and MLOps. 4 Collaborate with product engineers, designers, and data scientists to develop cutting-edge AI solutions.

- Communicate complex technical concepts clearly to both AI experts and non-technical audiences.

- Troubleshoot, debug, and optimize AI models for scalability and efficiency.

- Write clean, maintainable, and well-documented production code.

Requirements :

- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (Ph. D. or equivalent experience is a plus).

- Minimum of 6 years of experience in machine learning, with proven success deploying AI models in real-world applications.

- Strong programming skills in Python, with familiarity in libraries such as PyTorch, TensorFlow, NumPy, and JAX.

- Deep understanding of machine learning algorithms, data structures, and model evaluation methodologies.

- Strong background in modern LLM architectures and applications, and experience in using GenAI approaches in an applied, production environment.

- Excellent communication and presentation skills, with the ability to clearly explain design decisions.

- Strong analytical and problem-solving skills, able to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications :

- Authored or co-authored research papers in reputable AI/ML conferences or impactful technical blog posts.

- Active participation in open-source AI/ML repositories, Kaggle competitions, or similar projects.

- Experience working in a startup or small, fast-paced environments.