Staff ML Platform Engineer: Scalable Graph & Pipelines

Tensec; Springfield (VA); On-site; USD 230,000 - 322,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) program with employer match

Generous time off and parental leave

Job summary

Tensec, located in Springfield, Virginia, is seeking a Staff ML Infrastructure Engineer to develop a platform for large-scale machine learning models. You will design end-to-end model lifecycle patterns and collaborate with engineers to optimize performance in a distributed setting.

The ideal candidate has over 8 years of experience in ML infrastructure, deep cloud technology familiarity, and skills in programming languages like Python and frameworks such as TensorFlow and PyTorch. This role offers a competitive salary and equity opportunities.

Qualifications

• 8+ years of experience in ML infrastructure.
• Hands-on experience with ML optimization.
• Deep experience with cloud-based technologies.
• Experience with MLOps tools for tracking and serving models.
• Strong focus on scalability and reliability.

Responsibilities

• Lead development of a platform for large scale ML models.
• Design MLOps patterns to boost development velocity.
• Collaborate on performance tuning in distributed environments.
• Optimize batch data processing in data warehouses.
• Architect pipelines for large graph data structures.

Skills

Experience in ML infrastructure

Memory and GPU profiling

Cloud-based technologies

MLops tools

Proficiency in Python, PyTorch, Tensorflow

Distributed training frameworks

Strong communication skills

Tools

GCP BigQuery

Google Cloud Storage

Terraform

MLflow

Wandb

Ray

Kubernetes

Neo4j

JanusGraph

TigerGraph

PyTorch Geometric

Deep Graph Library

Job description

Tensec, located in Springfield, Virginia, is seeking a Staff ML Infrastructure Engineer to develop a platform for large-scale machine learning models. You will design end-to-end model lifecycle patterns and collaborate with engineers to optimize performance in a distributed setting.

The ideal candidate has over 8 years of experience in ML infrastructure, deep cloud technology familiarity, and skills in programming languages like Python and frameworks such as TensorFlow and PyTorch. This role offers a competitive salary and equity opportunities.