SimpliSafe is seeking to develop and implement cutting-edge machine learning models for edge devices to solve real-world problems in the home security domain
Requirements
- MS or PhD in Computer Science, Artificial Intelligence, or a related field
- 8+ years of experience in developing production-grade machine learning solutions
- Experience managing an engineering team
- Strong understanding of deep learning architectures and statistical modeling techniques, especially as it relates to computer vision and natural language processing
- Skilled in Python and relevant machine learning libraries (e.g., PyTorch TensorFlow, Keras)
- Skilled in C/C+
- 3+ years of experience developing and deploying models on edge devices leveraging techniques for quantization such as QAT, PTQ
Responsibilities
- Manage the edge AI team which is responsible for designing, developing, and deploying ML models to edge devices 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 model optimization techniques
- 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 achieve optimal performance (accuracy vs. power consumption) tradeoff for battery powered devices
- Stay up-to-date on the latest advancements in emerging techniques for model optimization techniques such as compression and quantization
Other
- MS or PhD in Computer Science, Artificial Intelligence, or a related field
- Excellent communication and collaboration skills
- Ability to work in a fast paced environment
- Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them
- Aim High - Always challenging ourselves and others to raise the bar
