Staff ML Platform Architect

SimpliSafe; Boston (MA); Presencial; USD 184.000 - 245.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free SimpliSafe system and monitoring

Total rewards package

Employee ERGs and networking

Descripción de la vacante

SimpliSafe is seeking a Staff Machine Learning Engineer to lead the ML data and training platform. You will set the technical direction for data preparation, model training, fine-tuning, and tracking, including large language models.

Own the architecture for data and training infrastructure and drive cross-team initiatives. You will guide the experimentation stack, model registry, data governance, and CI/CD for ML pipelines, partnering with data science, data engineering, product, and security

Formación

• 8+ years in software engineering, data engineering, or related field with 4+ years on ML infrastructure or MLOps.
• Proven leadership in designing/shipping ML training platforms or large-scale distributed systems.
• Expert-level AWS or similar cloud experience including compute/storage/networking and orchestration.
• Deep experience with CI/CD pipelines, Docker, Kubernetes, and IaC tools (Terraform, CloudFormation).
• Strong Python skills and hands-on ML frameworks (PyTorch, TensorFlow).
• Experience with distributed training and large-scale data processing (Ray, Spark).
• Familiarity with experiment tracking, model registries, data/model versioning (MLflow, Weights & Biases, DVC).
• Excellent written/verbal communication and collaboration with stakeholders.

Responsabilidades

• Define and own the technical vision and multi-quarter roadmap for ML data and training platform.
• Architect and lead scalable data and feature pipelines for versioned training datasets.
• Build and evolve distributed training infrastructure for ML, DL, and LLM fine-tuning with GPU optimization.
• Own experiment tracking, model registry, and data/model lineage for reproducibility.
• Develop CI/CD and automation for training pipelines enabling quick, safe model training.
• Partner with data science, data engineering, product, and security to align platform with priorities.
• Set standards for data versioning, training reproducibility, and governance and drive adoption.
• Lead build-vs-buy evaluations for ML tooling and cloud services.
• Drive reliability and cost efficiency of training/data workloads in AWS; plan capacity and cost.
• Mentor engineers, participate in on-call rotations, and lead postmortems.

Conocimientos

Python

AWS

Distributed systems

ML pipelines

CI/CD

Herramientas

Docker

Kubernetes

Terraform

CloudFormation

Airflow

Kubeflow

Flyte

Step Functions

MLflow

Weights & Biases

DVC

Ray

Spark

PyTorch

TensorFlow

Kafka

Kinesis

Delta Lake

Iceberg

Feast

SageMaker Feature Store

Descripción del empleo

SimpliSafe is seeking a Staff Machine Learning Engineer to lead the ML data and training platform. You will set the technical direction for data preparation, model training, fine-tuning, and tracking, including large language models.

Own the architecture for data and training infrastructure and drive cross-team initiatives. You will guide the experimentation stack, model registry, data governance, and CI/CD for ML pipelines, partnering with data science, data engineering, product, and security