Senior Machine Learning Engineer
DraftKings1 day ago
Remote, United StatesSenior
Base Salary
$134k - $168k/yr
Responsibilities
- Design, train, optimize, fine-tune, and evaluate computer vision and multimodal machine learning models.
- Build and maintain scalable data pipelines for production model training, testing, and evaluation.
- Develop model evaluation frameworks, performance metrics, and deployment decision processes.
- Deploy and manage machine learning models on scalable cloud infrastructure with automated scaling, monitoring, and controlled rollouts.
- Integrate models into real-time processing systems and develop computer vision capabilities including image preprocessing, barcode decoding, and optical character recognition.
- Partner with Engineering and Fulfillment Operations to improve lottery fulfillment workflows and expand capabilities into new markets.
- Contribute to code reviews, technical documentation, automated testing, mentorship, and broader data infrastructure initiatives.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience, with at least three years of machine learning engineering experience.
- Production experience developing, deploying, and maintaining machine learning models.
- Strong Python proficiency and software engineering experience with automated testing, data validation, and asynchronous programming.
- Hands-on experience with computer vision, multimodal or vision-language models, and frameworks such as PyTorch, Hugging Face Transformers, PEFT, or vLLM.
- Experience with model fine-tuning, prompt design, performance evaluation, and image processing tools such as OpenCV.
- Experience with cloud-based machine learning platforms, preferably Google Cloud, and familiarity with Docker, Kubernetes, GitHub Actions, or Datadog.
- Ability to lead complex initiatives, explain technical decisions, collaborate across teams, and demonstrate strong technical ownership and communication.
- Kotlin, Java, message-driven architectures, Protocol Buffers, or experience in lottery, gaming, fintech, or regulated industries are preferred.
Benefits
- Full-time position with bonus, equity, and benefits applicable to the role.
- A gaming license issued by the appropriate state agency may be required, with company guidance provided through the process.
Tech Stack
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.