Senior Machine Learning Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $134.4k - $168k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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DraftKings Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

• 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

• 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

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

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