Senior Machine Learning Engineer (MLOps)

Simplisafe • Boston, MA

33d • Hybrid

About The Position

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.

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 (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 Haves

• 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.

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.

Benefits

• 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 (For more information on our total rewards please click here)
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Administrative and Support Services
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees