高级软件工程师，AI 工程师（虚拟，WA，美国，00000）
Sr Software Engineer, AI Engineer (VIRTUAL, WA, US, 00000)
NRG是一家将能源与家庭服务相结合的公司，我们致力于打造更智能、更清洁、更互联的未来。
Vivint Smart Home是NRG旗下的一家公司，是美国领先的智能家居企业，专注于通过智能产品和服务重新定义家庭体验。我们致力于主动保护客户，并确保他们无论身处何地都能与家庭保持连接。加入智能家居团队，共同打造更智能、更安全、更可持续的家庭。
职位简介
作为Camera AI团队的AI工程师，你将与一群才华横溢且善于协作的工程师一起，开发能够显著提升家庭防护、提供有价值洞察并提高日常便利性的实际AI解决方案。我们开创性的全集成智能家居生态系统为计算机视觉、传感器融合和高级机器学习应用的突破性体验提供了独特平台。
你的主要职责包括：
- 领导高质量、可扩展的AI功能和产品的设计与开发，注重客户价值和技术卓越性。
- 与跨职能团队（嵌入式、应用、平台、QA、产品和UX）紧密合作，成功将AI解决方案部署给我们的大量客户。
- 创建、测试和优化先进的机器学习模型，适用于边缘和云环境。
- 开发全面的数据管理流程，包括数据整理、可视化、标注和模型训练过程。
- 持续监控和维护生产环境中AI功能的性能，确保持续的客户价值并发现迭代改进。
所需资格：
- 数据科学、数学、计算机科学、计算机工程、电子工程或相关领域的学士、硕士或博士学历，3-5年相关经验
- 强大的分析和解决问题的能力
- AI/ML经验：
- 计算机视觉
- 数据结构、整理、标注和流程
- 模型训练、微调和评估
- 编程和技术能力：Rust、C++、Python、Shell、嵌入式Linux、Git
优先考虑的资格：
- 计算机视觉：分类、目标检测、分割、跟踪、识别、视觉语言模型、姿态、向量嵌入、重识别、OpenCV
- 机器学习框架：TensorFlow、PyTorch
- 数据工程：
- FiftyOne、CVAT、Vertex AI、Label Studio
- 数据可视化/故事讲述
查看英文原文
Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future.
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 an AI Engineer on the Camera 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, 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 AI/ML Experience:
- Computer vision
- Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation
- Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git
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
- MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
- Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
- Databases: SQL, NoSQL, Vector, Time Series, Graph
- Transformers, LLMs, Knowledge Graphs
- Multimedia pipelines: GStreamer, ffmpeg, mediapipe
- Edge computing, Embedded Systems, and IoT Devices
- Model compression techniques
- 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
- JIRA and Confluence proficiency
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
Official description on file with Talent.
We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.
Originally posted on Himalayas