Senior Machine Learning Engineer

Sits on the Lottery Intelligence Team and builds and scales machine learning solutions that turn complex operational data into accurate, reliable customer experiences. It leads the development of computer vision and multimodal models, taking innovative solutions from experimentation to real-world deployment. Working alongside Engineering and cross-functional teams, the role improves model performance, strengthens customer trust, and helps expand lottery fulfilment capabilities into new markets nationwide.

• Designs, trains, and optimises computer vision and multimodal machine learning models that transform complex inputs into accurate, structured data.
• Fine-tunes and evaluates multimodal models using techniques such as LoRA and hyperparameter optimisation to improve accuracy, speed, and cost efficiency.
• Builds and maintains scalable data pipelines that prepare, validate, and organise production data for model training, testing, and evaluation.
• Develops robust evaluation frameworks and performance metrics to compare models, measure accuracy, and guide deployment decisions.
• Deploys and manages machine learning models on scalable cloud infrastructure, using automated scaling, monitoring, and controlled rollouts to maintain reliable performance.
• Integrates machine learning models into real-time processing systems and enhances computer vision capabilities, including image preprocessing, barcode decoding, and optical character recognition.
• Partners with Engineering, Fulfilment Operations, and other cross-functional teams to identify opportunities, improve operational workflows, and strengthen the systems supporting lottery fulfilment.
• Elevates engineering standards through code reviews, technical documentation, automated testing, and mentorship while contributing to the team's broader data infrastructure.

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience, with at least 3 years of machine learning engineering experience.
• Proven experience developing, deploying, and maintaining machine learning models in production environments.
• Strong proficiency in Python and software engineering best practices, including automated testing, data validation, and asynchronous programming.
• Hands-on experience with computer vision, multimodal or vision-language models, and machine learning 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 and familiarity with containerisation, orchestration, and monitoring tools such as Docker, Kubernetes, GitHub Actions, or Datadog.
• Strong technical ownership, problem-solving, and communication skills, with the ability to lead complex initiatives, explain technical decisions, and collaborate across teams.

• Experience with Google Cloud.
• Familiarity with Kotlin, Java, message-driven architectures, or Protocol Buffers.
• Experience in lottery, gaming, financial technology, or other regulated industries.

• US base salary range: 134,400.00 USD - 168,000.00 USD, plus bonus and equity as applicable.

• Benefits as applicable.

DraftKings is a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. AI is becoming an integral part of both its present and future, powering how work gets done, guiding smarter decisions, and sparking bold ideas. As a regulated gaming company, employees may be required to obtain a gaming licence issued by the appropriate state agency as a condition of employment, with guidance provided through the process if relevant.