Staff Data Scientist, Cloud AI

Job Description

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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 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.

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 : GCP (Vertex AI / Storage / Cloud Functions), AWS, Azure
• Databases : SQL, NoSQL, Vector, Time Series, Graph
• MLOps / DevOps : DVC, CML, GTO, Gitlab Pipelines
• AI / ML Experience : Data structures, curation, annotation, and pipelines; model training, fine-tuning, and evaluation
• Programming and Technical Proficiency : 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 microservices 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.

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.

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