Sr Machine Learning Engineer

SimpliSafe is hiring a Senior Machine Learning Engineer to help take machine learning from development to production. In this Boston hybrid role, you will focus on building and deploying model serving capabilities, strengthening ML infrastructure, and improving the reliability, security, and scalability of ML workflows.

You will collaborate with data scientists and engineering partners to operationalize models, put monitoring in place, and enable repeatable releases through solid ML CI/CD practices. The role also includes participating in an on-call rotation for software owned by your team.

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 support rapid, safe, and consistent releases.
• Design, implement, and own comprehensive production monitoring for ML models and ML 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.
• 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, 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, and infrastructure-as-code tools such as Terraform and Cloud Formation.
• Proficiency in Python, plus familiarity with ML frameworks such as TensorFlow and PyTorch.
• Solid understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring.
• Strong communication skills for working across cross-functional technical and non-technical teams.

Technologies

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

Benefits

• A mission- and values-driven culture and a safe, inclusive environment to build, grow, and thrive.
• A comprehensive total rewards package that supports wellness and provides security for SimpliSafers and their families.
• Free SimpliSafe system and professional monitoring for your home.
• Employee Resource Groups (ERGs) for networking, mentoring, development, and advocacy.

Nice to Have

• 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.
• Experience with distributed systems and big data technologies like Spark and Hadoop.
• Experience with event-driven or streaming architectures such as Kafka and Kinesis.
• Knowledge of cloud security, IAM, and compliance best practices for ML workloads.
• LLM application development, including prompt engineering and evaluation.

What Values You’ll Share

• Customer Obsessed
• Aim High
• No Ego
• One Team
• Lift As We Climb
• Lean & Nimble

Hybrid Work Model

• Hybrid work model that allows teams to split time between office and home.
• Teams come together in SimpliSafe’s state-of-the-art office on two core days each week, typically Tuesday, Wednesday, or Thursday, with the remaining time based on team choice.

Location: Boston, MA (hybrid)
Salary: USD 152,900 - 203,800 per year (target annual base pay range)