Senior Machine Learning Engineer

DraftKings Inc.

. Design, train, and optimize computer vision and multimodal machine learning models that transform complex inputs into accurate, structured data .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $134,400 - $168,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, training, and optimizing machine learning models, particularly in computer vision and multimodal applications. Proficient in deploying models on cloud infrastructure and collaborating with cross-functional teams to enhance operational workflows.

Highest-signal resume keywords

Machine Learning Engineering ExperiencePython ProficiencyComputer Vision ExpertiseCloud-Based Machine Learning PlatformsModel Fine-Tuning and Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ModelsComputer VisionMultimodal ModelsHyperparameter OptimizationImage ProcessingAutomated TestingData ValidationPerformance MetricsAsynchronous ProgrammingModel Deployment

Soft Skills

Problem-SolvingCommunicationTechnical Ownership

Tools & Technologies

PyTorchHugging Face TransformersOpenCVGoogle CloudDockerKubernetesGitHub ActionsDatadog

Certifications & Qualifications

Gaming License

Industry Keywords

LotteryGamingFinancial TechnologyRegulated Industries

Tech Stack

Tools & technologies

CloudDockerJavaKotlinKubernetesPythonPyTorch

About the role

Key responsibilities & impact

Design, train, and optimize computer vision and multimodal machine learning models that transform complex inputs into accurate, structured data
Fine-tune and evaluate multimodal models using techniques such as LoRA and hyperparameter optimization to improve accuracy, speed, and cost efficiency
Build and maintain scalable data pipelines for production data used in model training, testing, and evaluation
Develop evaluation frameworks and performance metrics to compare models, measure accuracy, and guide deployment decisions
Deploy and manage machine learning models on scalable cloud infrastructure using automated scaling, monitoring, and controlled rollouts
Integrate machine learning models into real-time processing systems and enhance computer vision capabilities, including image preprocessing, barcode decoding, and optical character recognition
Partner with Engineering, Fulfillment Operations, and other cross-functional teams to identify opportunities and improve lottery fulfillment workflows
Contribute to code reviews, technical documentation, automated testing, mentorship, and broader data infrastructure

Requirements

What you’ll need

A Bachelor’s Degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience
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, preferably Google Cloud
Familiarity with containerization, 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
Familiarity with Kotlin, Java, message-driven architectures, or Protocol Buffers is a plus
Experience in lottery, gaming, financial technology, or other regulated industries is a plus
May be required to obtain a gaming license issued by the appropriate state agency as a condition of employment

Benefits

Comp & perks

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