SimpliSafe · 2 weeks ago
Senior Machine Learning Engineer (Infrastructure)
SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. The Senior Machine Learning Engineer will drive the development and deployment of machine learning models, optimize ML workflows, and ensure infrastructure scalability, reliability, and security.
Consumer ElectronicsHome ImprovementManufacturingSecuritySensorSmart Home
Responsibilities
Lead the architecture, deployment, and optimization of scalable ML model serving systems for real-time and batch use cases
Collaborate with data scientists, engineers, and stakeholders to operationalize ML models
Develop CI/CD pipelines for ML models enabling rapid, safe, and consistent model releases
Design, implement, and own comprehensive production monitoring for ML models/systems
Manage cloud infrastructure, primarily in AWS or other major public clouds, to support ML workloads
Drive best practices in model versioning, observability, reproducibility, and deployment reliability
Serve in an on-call rotation as a first responder for software owned by your team
Qualification
Required
5+ years of experience in software engineering, data engineering, or a related field, with at least 3 years focused on MLOps or ML infrastructure
Deep hands-on experience with AWS or similar public clouds, including compute, networking, container orchestration, and observability stacks
Hands-on experience with CI/CD pipelines, Docker
Kubernetes
Infrastructure-as-code tools (e.g., Terraform, Cloud Formation)
Proficiency in programming languages like Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
Solid understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring
LLM application development, including prompt engineering and evaluation
Strong communication skills for partnering with cross-functional technical and non-technical teams
Preferred
Experience with Ray for inference, or pipeline orchestration
Hands-on experience with deploying large language models (LLMs) to production
Experience with frameworks such as vLLM is a plus
Experience with distributed systems and big data technologies (e.g., Spark, Hadoop)
Experience with event-driven or streaming architectures (e.g., Kafka, Kinesis)
Knowledge of cloud security, IAM, and compliance best practices for ML workloads
Benefits
Free SimpliSafe system and professional monitoring for your home.
Participation in our annual bonus program
Equity
Full range of medical, retirement, and lifestyle benefits
Company
SimpliSafe
SimpliSafe is a home security company that designs, engineers, and sells cameras, smart lock, and wireless security alarm systems.
H1B Sponsorship
SimpliSafe 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 (11)
2024 (14)
2023 (21)
2022 (17)
2021 (14)
2020 (8)
Funding
Current Stage
Late StageTotal Funding
$387MKey Investors
Sequoia Capital
2025-09-15Acquired
2022-05-06Debt Financing· $200M
2021-04-12Private Equity· $130M
Recent News
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