Machine Learning Engineer

Our interdisciplinary team of engineers makes use of what’s best in the technology world - combining hardware, firmware, backend, frontend, machine learning, and mobile development - to provide exceptional surveillance solutions to our clients. Our systems process and aggregate information from various wireless sensors (IoT) in near-real-time in order to produce a final verdict (also known as “sensor fusion”) and, if necessary, deter intruders and alert our customers about any unexpected activity.

When you join us, you will:

• Research ways to improve Machine Learning models and algorithms;
• Improve data collection pipelines;
• Develop and train Machine Learning models;
• Develop inference pipelines;
• Deploy Machine Learning models in production;
• Simulate new algorithms running in production;
• Compare models and algorithms;
• Work with Machine Learning models that run on the edge;
• Process signals from multiple sensors;
• Produce well-written research in English;
• Develop analysis and visualization tools in Python;
• Collaborate with people from Hardware, Firmware, Embedded Linux, Backend, Frontend and Mobile;
• Learn new things every day.

What we'd like to see in a candidate:

• Past experience with Machine Learning and Data Analysis;
• Past experience with Python for Data Analysis and Software Development;
• Knowledge of modern Machine Learning models (e.g. Convolutional Networks, Recurrent Networks, …);
• Feel comfortable working with PyTorch, Pandas, Numpy, and Jupyter;
• Familiarity with SQL queries;
• Familiarity with signal processing techniques;
• Familiarity with the fundamentals of Probability and Statistics;
• Excellent written and verbal communication skills in English and Portuguese.

Good to have:

• Experience in software development;
• Knowledge of Rust, C, and C++;
• Familiarity with sensors;
• Familiarity with wireless communication;
• Familiarity with embedded systems;
• Familiarity with Linux operating systems;
• Past experience with research.