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Machine Learning Scientist II - Gen AI

United States, Boston 127300.00 - 186700.00 USD / Year · Job Posted March 04, 2026
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Job Description

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

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