Principal Data Scientist, AI Engineer

Job Description

Welcome to the intersection of energy and home services. At NRG, we're driven by the idea of a smarter, cleaner, more connected future and the possibilities that will bring to the world and to the 7.3 million customers we serve.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

About the 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:

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

Required Qualifications:

1. Bachelor's, Master's, or PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 5-8 years of relevant experience.
2. Strong analytical and problem-solving skills.
3. AI/ML Experience: Data structures, curation, annotation, and pipelines; Computer vision, model training, fine-tuning, and evaluation.
4. Programming and Technical Proficiency: Rust, C++, Python, Shell; Embedded Linux.

Preferred Qualifications:

1. Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector; Embeddings, Re-ID, OpenCV.
2. ML frameworks: TensorFlow, PyTorch.
3. Data Engineering: FiftyOne, CVAT, Vertex AI, Label Studio.
4. Data Visualization/Story Telling and Data Wrangling/Munging/Big Data.
5. MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines.
6. Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure.
7. Databases: SQL, NoSQL, Vector, Time Series, Graph.
8. Transformers, LLMs, Knowledge Graphs.
9. Multimedia pipelines: GStreamer, ffmpeg, mediapipe.
10. Edge computing, Embedded Systems, and IoT Devices.
11. Model compression techniques.
12. Image, Audio, Radar, Signal Processing.
13. Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth.

Here are some highlighted perks you should ask us about:

1. Free daily lunch and drinks on site.
2. Paid holidays and flexible paid time away.
3. Employee/Friends/Family Discounts.
4. Onsite health clinic, gym, gaming tables.
5. Medical/dental/vision/life coverage & 24/7 Medical Hotline.
6. 401(k) + Employer Match.
7. 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.

SAFETY:

We enforce a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues.