Staff ML Infrastructure Engineer, Cloud & Real-Time Inference

SimpliSafe; Boston (MA); Hybrid; USD 183,500 - 269,100; Full time

Benefits offered by this job

Free SimpliSafe system

Comprehensive rewards package

Employee Resource Groups

Job summary

SimpliSafe in Boston, MA is seeking a Staff Machine Learning Engineer to enhance its cloud-side ML infrastructure. This senior role involves architecture decisions, mentorship, and operational excellence in deploying and managing ML systems.

The focus will be on real-time computer vision and LLM infrastructure, partnering with cross-functional teams to improve product safety. Competitive compensation package offered with a hybrid work model, fostering both personal and professional growth.

Qualifications

• Deep expertise in cloud ML infrastructure on Kubernetes with hands-on production experience.
• Strong production experience on AWS, EKS, S3, and IAM.
• Experience designing and operating high-throughput, low-latency inference systems.

Responsibilities

• Drive architecture decisions for the Kubernetes-based ML platform.
• Own the design and evolution of real-time CV inference systems.
• Lead incident response and postmortems for critical ML systems.

Skills

Kubernetes

AWS

Python

ML fundamentals

Ray

Education

8+ years of software/ML engineering experience

Tools

Kafka

KServe

Triton

Job description

SimpliSafe in Boston, MA is seeking a Staff Machine Learning Engineer to enhance its cloud-side ML infrastructure. This senior role involves architecture decisions, mentorship, and operational excellence in deploying and managing ML systems.

The focus will be on real-time computer vision and LLM infrastructure, partnering with cross-functional teams to improve product safety. Competitive compensation package offered with a hybrid work model, fostering both personal and professional growth.