Senior ML Platform Engineer — Build Scalable AI Infra

DK Crown Holdings Inc.; Boston (MA); On-site; USD 134,000 - 168,000; Full time

Job summary

DraftKings in Boston is seeking a Senior Machine Learning Engineer to shape the technical direction of the ML Platform that powers data science, analytics, and ML capabilities across the company. You will lead real-time data pipelines, governance, and scalable ML services, partnering across engineering and data science to raise platform ownership and reliability.

You’ll mentor engineers, drive automation, and set engineering standards while advancing cost-aware, scalable infrastructure and

Qualifications

• 8+ years of experience in software engineering, data engineering, or ML infrastructure.
• Deep expertise in distributed data systems and streaming technologies (Kafka, Spark, Iceberg/Delta Lake).
• Experience with Databricks and lakehouse governance.
• Proficiency with AWS, Terraform, IaC, and cloud networking.
• Ability to define technical architecture and influence multiple teams.
• Experience managing production infrastructure, monitoring, incident response, and reliability.
• Experience with AI-assisted development tools and automation.
• Strong communication and mentorship skills.
• Experience with Snowflake or AI-powered developer tooling is a plus.

Responsibilities

• Define the technical architecture and roadmap for the Machine Learning Platform, including real-time data ingestion, lakehouse governance, and ML serving infrastructure.
• Design and scale distributed data systems using Kafka, Spark Structured Streaming, and Databricks with a focus on reliability, automation, and self-service capabilities.
• Establish engineering standards and architectural best practices, driving adoption across teams to improve platform consistency, scalability, and performance.
• Lead complex engineering initiatives by defining technical specifications, milestones, and guiding implementation through design and code reviews.
• Partner with Data Engineering, BI, Data Science, and Architecture teams to advance data sharing, platform connectivity, and enterprise data infrastructure.
• Own the reliability and operational performance of critical platform services, including monitoring, incident response, and continuous improvement.
• Drive cloud cost efficiency through resource optimization, cost monitoring, and scalable compute management frameworks.
• Champion AI-assisted engineering practices, develop intelligent automation tools, and mentor engineers to strengthen technical expertise and expand platform ownership.

Skills

Distributed data systems

Streaming technologies

Leadership experience

AWS & Terraform

Mentorship

Communication

Tools

Kafka

Spark Structured Streaming

Databricks

Iceberg/Delta Lake

Snowflake

Job description

DraftKings in Boston is seeking a Senior Machine Learning Engineer to shape the technical direction of the ML Platform that powers data science, analytics, and ML capabilities across the company. You will lead real-time data pipelines, governance, and scalable ML services, partnering across engineering and data science to raise platform ownership and reliability.

You’ll mentor engineers, drive automation, and set engineering standards while advancing cost-aware, scalable infrastructure and