Sr Machine Learning Engineer

SimpliSafe is hiring a Senior Machine Learning Engineer to build, deploy, and optimize machine learning model serving and ML infrastructure in a hybrid environment based in Boston.

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 to enable rapid, safe, and consistent releases
• Design, implement, and own comprehensive production monitoring for ML models and systems
• Manage cloud infrastructure, primarily on AWS (or other major public clouds) to support ML workloads
• Drive best practices across model versioning, observability, reproducibility, and deployment reliability
• Participate in an on-call rotation as a first responder for software owned by your team

Requirements

• 5+ years of experience in software engineering, data engineering, or a related field, including 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, and infrastructure-as-code tools such as Terraform or Cloud Formation
• Proficiency in Python; familiarity with ML frameworks including TensorFlow and PyTorch
• Solid understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring
• Strong communication skills for partnering with cross-functional technical and non-technical teams

Technologies

• AWS
• Python
• TensorFlow
• PyTorch
• Docker
• Kubernetes
• Terraform
• Cloud Formation
• Ray
• vLLM
• Spark
• Hadoop
• Kafka
• Kinesis

Nice to have

• Experience with Ray for inference, or pipeline orchestration
• Hands-on experience deploying large language models (LLMs) to production
• Experience with vLLM
• 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
• LLM application development, including prompt engineering and evaluation

Benefits

• Mission- and values-driven culture with a safe, inclusive environment to build, grow, and thrive
• Comprehensive total rewards package supporting wellness and security for SimpliSafers and their families
• Free SimpliSafe system and professional monitoring for your home
• Employee Resource Groups (ERGs) for networking, mentoring, development, and advocating for change

Values you’ll share

• Customer Obsessed - deep empathy for customers and long-term relationships
• Aim High - challenging to raise the bar
• No Ego - open, inclusive, humble approach
• One Team - collaborative approach to success
• Lift As We Climb - investing in developing others
• Lean & Nimble - working with agility and efficiency in an ambiguous environment

Hybrid work model

• Hybrid work model with time split between office and home
• Teams come together in the state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday
• Work location for the remainder of the week is chosen by where you work in person

Location: Boston, MA (hybrid)

Target base pay range: USD 152,900 - 203,800 per year

Minimum experience: 5 years