Artificial Intelligence Engineer

As a Senior AI Quality and Safety Engineer on the AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Your specific role will be to establish the highest standard of quality and safety for our customers.

Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications.

• Architect the framework to enforce and maintain the highest quality and safety standards for our AI driven product offerings
• Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base
• Test and refine advanced machine learning models, optimizing them for both edge and cloud environments
• Develop comprehensive datasets and evaluations that allow us to gauge the quality and safety of our offerings
• Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements

• Bachelor’s, Master’s, PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 3–5 years of relevant experience
• Strong analytical and problem-solving skills

• Data structures, curation, annotation, pipelines, model training, fine-tuning, and evaluation
• LLM and GenAI training and evaluation
• Computer vision training and evaluation
• Programming and Technical Proficiency:
  Python, Shell, Embedded Linux, Git

• C++, Rust Programming
• ML frameworks:
  Tensor Flow, Py Torch

• Transformers, LLMs, Knowledge Graphs

• Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
• MLOps/Dev Ops: DVC, CML, GTO, Gitlab Pipelines
• Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
• Databases: SQL, No
  
  SQL, Vector, Time Series, Graph

• Edge computing, Embedded Systems, and IoT Devices
• Image, Audio, Radar, Signal Processing
• Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
• Experience working with secure, scalable, high-availability, low latency, and distributed solutions