Senior Lead Software Engineer, Machine Learning

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

As a Senior Lead Software Engineer with a focus on image pre-processing and machine learning for Optical Character Recognition (OCR), youll shape the future of Jackpocket, one of the newest products in our portfolio. In this role, youll dive into the dynamic lottery vertical, driving product innovation and navigating the unique scaling challenges that come with it. You’ll work cross-functionally to drive innovation and deliver new functionalities rapidly. Working within this vertical offers the thrilling opportunity to contribute to a game-changing product in a rapidly growing industry, where your work directly impacts the future of digital lottery experiences.

What you’ll do as a Senior Lead Software Engineer

• Create and improve image classification models using CNNs.

• Develop and refine image processing and computer vision algorithms.

• Design, develop, and deploy machine learning models using Vertex AI to solve complex problems.

• Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness for OCR applications.

• Influence cross-functional teams for solution integration, emphasizing collaborative innovation.

• Directly engage in code reviews and system design sessions, ensuring architectural integrity and performance standards.

• Act as a technical expert in our systems, providing hands-on leadership in critical development and deployment tasks.

• Mentor in ML and software engineering best practices, ensuring high standards in development and deployment.

What you’ll bring   

• Over 9 years of experience in Software Engineering, with 5+ years focused on building and scaling machine learning systems in production, demonstrating expertise in MLOps, advanced ML techniques, and leadership in solving complex, high-impact problems.

• Skilled in cloud infrastructure, particularly Google Cloud Platform (GCP) with vertexAI, and experienced with containerization technologies like Docker and Kubernetes for deploying and managing scalable services.

• Proficient in using observability tools such as DataDog and Google Cloud Observability Platform for production monitoring and alerting, and knowledgeable in event-driven messaging systems (e.g., Kafka, RabbitMQ) with practical, real-world experience.

• Strong programming skills in Kotlin, Java, and Python, with a solid foundation in image processing and computer vision techniques, including advanced use of OpenCV.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 156,000.00 USD - 195,000.00 USD, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.