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Staff Data Scientist, Cloud AI

Vivint
paid holidays, 401(k)
United States, Utah, Lehi
Feb 24, 2025

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers' lives easier-helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.

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.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.


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