Vivint · 8 hours ago
Staff Software Engineer, MLOps - Hybrid
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. The Staff MLOps Engineer will design and maintain the tooling and infrastructure that enable data scientists to experiment rapidly and deploy models reliably, focusing on building pipelines for training and inference and ensuring model performance and security at scale.
ElectronicsInternet of ThingsSecuritySmart Home
Responsibilities
Design, implement and maintain MLOps services and pipelines that automate the training, testing, deployment and monitoring of machine learning models in production
Build and manage feature stores, data versioning systems and model registries to support reproducible experiments and continuous improvement of occupancy, HVAC and demand response models
Collaborate with data scientists, software engineers and DevOps teams to integrate models into existing systems, balancing performance, latency and resource constraints
Develop and enforce best practices for continuous integration and continuous delivery in machine learning projects, including automated testing, code reviews and model validation
Monitor the health of data and models in production, implement strategies for retraining and rollback and drive observability for model performance and drift
Optimize infrastructure for training and inference, leveraging cloud resources, containerization and orchestration frameworks to ensure scalability and cost efficiency
Provide mentorship to junior engineers and contribute to the development of MLOps standards and documentation across the organization
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Engineering or a related field and at least five years of experience in software engineering, data engineering or DevOps, with three or more years specifically in MLOps
Strong programming skills in languages such as Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit‑learn)
Proficiency with DevOps tools and practices, including Docker, Kubernetes and CI/CD pipelines, and familiarity with cloud platforms such as GCP, AWS or Azure
Experience with version control systems (Git) and infrastructure as code tools (Terraform) and with monitoring and observability tools
Solid understanding of machine learning workflows, including data preparation, model training, evaluation, deployment and monitoring
Excellent problem‑solving skills and ability to troubleshoot complex production issues
Preferred
Experience building MLOps platforms for time series or IoT data, particularly in energy or smart home applications
Familiarity with feature stores, model interpretability and fairness in AI
Experience with big data technologies such as Apache Spark, Kafka or Hadoop
Previous experience leading or mentoring a team of engineers
Company
Vivint
Vivint offers an integrated smart home system along with in-home consultation, professional installation, monitoring, and support.
H1B Sponsorship
Vivint has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (20)
2023 (19)
2022 (26)
2021 (20)
2020 (24)
Funding
Current Stage
Public CompanyTotal Funding
$1.27BKey Investors
Founders Fund,Solamere CapitalGoldman Sachs
2022-12-06Acquired
2020-01-21Post Ipo Equity· $488M
2020-01-21IPO
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