Machine Learning Scientist - Remote

Overview

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.

Benefits

• Flexible hybrid work model.
• Opportunities for professional growth and development.
• Collaborative and innovative work culture.
• Impactful work in the home security space.
• Supportive and inclusive workplace.