We are seeking a highly motivated and experienced Machine Learning Scientist to join our growing Engineering team. As a key contributor, you will play a crucial role in developing and implementing cutting-edge machine learning models, with a focus on Natural Language Processing (NLP), Multi-modal Large Language Models (LLMs) and to enhance our products and services.

In Short

Design, develop, and deploy NLP and LLM models to solve real-world problems in the home security domain.
Work with key stakeholders to identify key research initiatives that can have impact to business outcomes.
Set the research direction/roadmap for Generative AI applications.
Take research initiatives from idea generation to production.
Plan, adapt and execute multiple initiatives independently and through others.
Collaborate with engineers and product managers to integrate NLP/LLM capabilities into our existing systems.
Stay up-to-date on the latest advancements in NLP/LLM and related fields.
Contribute to the development of our machine learning infrastructure and tools.
Influence team culture and exemplify best practices in applied research.

Requirements

MS or PhD in Computer Science, Artificial Intelligence, or a related field.
1+ years of experience in developing or fine-tuning and deploying LLM models such as Llama or similar.
2+ years of experience in developing and deploying NLP models such as GPT, BERT or VLM models such as CLIP, DINO.
8+ years of experience in developing production-grade machine learning solutions.
Strong understanding of transformer models, deep learning architectures, and statistical modeling techniques.
Strong understanding of training techniques for foundational LLM and VLM models.
Skilled in Python and relevant machine learning libraries (e.g., PyTorch TensorFlow, Keras etc.).
Experience with data preprocessing, feature engineering, and model evaluation.
Excellent communication and collaboration skills.
Ability to work in a fast paced environment.