Senior Machine Learning Engineer (Infrastructure) Jobs

Senior Machine Learning Engineer (Infrastructure)

SimpliSafe

Location:
United States , Boston

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

152800.00 - 224100.00 USD / Year

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Job Description:

We are looking for an experienced MLOps Engineer to join our team as a Senior Machine Learning Engineer. In this role, you will drive the development and deployment of machine learning models, optimize ML workflows, and help ensure our infrastructure is scalable, reliable, and secure. If you have a passion for automation, cloud technology, and delivering high-impact solutions, we'd love to hear from you.

Job Responsibility:

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

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
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

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 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

What we offer:

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation
A full range of medical, retirement, and lifestyle benefits

Additional Information:

Job Posted:
December 23, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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