Senior Machine Learning Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $134.4k - $168k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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DraftKings Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

• Design, build, and maintain scalable cloud infrastructure supporting machine learning workloads, including compute, storage, networking, and access management using Terraform • Develop CI/CD pipelines, automation, and self-service tools for infrastructure provisioning and application deployments • Own production system design, deployment, performance, reliability, monitoring, and cost efficiency • Build and optimize data infrastructure for high-volume batch and streaming workloads, including real-time data ingestion using Kafka and lakehouse technologies • Strengthen platform security and governance through access controls, infrastructure policies, and resource management • Collaborate with Data Scientists, Machine Learning Engineers, and Infrastructure Teams on reusable solutions for model training, deployment, and monitoring • Lead technical design discussions, review code, and mentor engineers • Evaluate emerging cloud and infrastructure technologies to improve scalability, performance, and operational efficiency

🎯 Requirements

• Bachelor’s Degree in Computer Science, Engineering, or a related field, or equivalent practical experience • At least 3 years of professional software engineering experience focused on cloud infrastructure, platform engineering, site reliability engineering, or data platforms • Strong proficiency in Python, including experience developing, testing, and maintaining production-level applications and automation tools • Hands-on experience with infrastructure as code tools such as Terraform or Pulumi, including developing reusable modules and managing cloud resources • Experience designing and supporting distributed systems in cloud environments, preferably Amazon Web Services (AWS), with knowledge of networking, identity and access management, and security best practices • Experience with CI/CD pipelines, workflow orchestration, and containerization technologies such as GitHub Actions, Jenkins, Argo, Airflow, or Docker • Familiarity with distributed data processing technologies such as Databricks, Spark, or Kafka, along with experience supporting batch or streaming data workloads • Strong sense of ownership and experience supporting production systems • Ability to lead complex technical initiatives and communicate effectively across teams • Gaming license may be required as a condition of employment, depending on the role and state agency requirements

🏖️ Benefits

• Bonus • Equity • Benefits as applicable • Guidance through the gaming license process if relevant to the role

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