About This Role

As a software 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. 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. Your key responsibilities will encompass:

Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence.
Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base.
Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments.
Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes.
Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements.

Required Qualifications:

Bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Electrical Engineering or related field and 3-5 years of relevant experience
Strong analytical and problem-solving skills * Cloud Experience: o GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure o Databases: SQL, NoSQL, Vector, Time Series, Graph o MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
AI/ML Experience: o Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation
Programming and Technical Proficiency: o Rust, C++, Python, Shell
Embedded Linux

Preferred Qualifications:

Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV
ML frameworks: TensorFlow, PyTorch
Data Engineering:
FiftyOne, CVAT, Vertex AI, Label Studio
Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
Transformers, LLMs, Knowledge Graphs
Multimedia pipelines: GStreamer, ffmpeg, mediapipe
Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
Experience working with secure, scalable, high-availability, low latency, and distributed solutions
Containerization and orchestration (Docker, Kubernetes)
Knowledge of RESTful APIs and microServicess architecture
JIRA and Confluence proficiency

Here are some highlighted perks you should ask us about:

Free daily lunch and drinks on site
Paid holidays and flexible paid time away
Employee/Friends/Family Discounts
Onsite health clinic, gym, gaming tables
Medical/dental/vision/life coverage & 24/7 Medical Hotline
401(k) + Employer Match
Employee Resource Groups

WORKING CONDITIONS:

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.