Senior Machine Learning Engineer
DraftKings3 days ago
Remote, United StatesSenior
Base Salary
$134k - $168k/yr
Responsibilities
- Design, build, and maintain scalable cloud infrastructure for machine learning workloads 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 ingestion.
- Strengthen platform security and governance through access controls, infrastructure policies, and resource management.
- Create reusable solutions supporting model training, deployment, and monitoring in collaboration with data and infrastructure teams.
- Lead technical design discussions, review code, mentor engineers, and advance engineering standards.
- Evaluate 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 Python proficiency with experience developing, testing, and maintaining production applications and automation tools.
- Hands-on infrastructure-as-code experience with Terraform or Pulumi, including reusable modules and cloud resource management.
- Experience designing and supporting distributed systems in cloud environments, preferably AWS, including networking, identity and access management, and security practices.
- Experience with CI/CD pipelines, workflow orchestration, and containerization technologies such as GitHub Actions, Jenkins, Argo, Airflow, or Docker; Kubernetes experience is a plus.
- Familiarity with Databricks, Spark, or Kafka and with batch or streaming data workloads.
- Strong ownership, production systems experience, technical initiative leadership, and cross-team communication skills.
- Prior machine learning experience is a plus but is not required.
Benefits
- Full-time position with bonus, equity, and benefits as applicable; compensation details are provided separately.
- A gaming license issued by the appropriate state agency may be required as a condition of employment, with guidance provided through the process.
Tech Stack
Apache AirflowApache KafkaApache SparkArgo CDAWSDatabricksDockerGitHub ActionsJenkinsKubernetesPythonTerraform
Categories
About DraftKings
DraftKings builds consumer platforms for daily fantasy sports, online sports betting, and real-money casino games in regulated markets. It generates revenue from wagers, fantasy contest entry fees, and casino gameplay, delivered via mobile and web apps. Founded in 2012 and headquartered in Boston, the company is publicly traded on NASDAQ and operates across many U.S. states and Ontario.