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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 Computer Vision (CV), Multi-modal Large Language Models (LLMs) and Agentic AI to enhance our products and services.
Job Responsibility:
Develop and fine-tune large language models (LLMs) and vision-language models (VLMs) to address real-world challenges in the home security space
Work with key stakeholders to identify key research initiatives that can have impact on business outcomes
Take research initiatives from idea generation to production
Collaborate with engineers and product managers to integrate capabilities into our existing systems
Stay up-to-date on the latest advancements in LLMs, VLMs, and multimodal systems. Evaluate new techniques for potential adoption and improvement of internal capabilities
Requirements:
MS or PhD in Computer Science, Artificial Intelligence, or a related field
Experience training or fine-tuning large language models (LLMs) using modern frameworks
Strong grasp of deep learning, particularly transformer architectures and foundational model training techniques for text and vision modalities
Proficient in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers)
Hands-on experience in developing and deploying LLM- or VLM-powered applications
Familiarity with prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol, Agentic AI and evaluation of generative models
Understanding of MLOps practices and how to scale experiments into production-grade solutions
Strong communication and documentation skills
Collaborative mindset with the ability to thrive in a fast-paced, interdisciplinary environment
Nice to have:
Experience with speech recognition, natural language understanding, or natural language generation
Publication in posters, conference proceedings, journal articles, workshops etc
Familiarity with cloud computing platforms (e.g., AWS, GCP)
Contributions to open-source NLP, LLM or CV projects
What we offer:
A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits