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Open nowPosted 2 days ago

Senior Machine Learning Engineer

DraftKings96 open roles

Pay
$134,400 – $168,000 a year
Where
Remote - US
Work mode
Remote
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Your applicationOpen nowSenior Machine Learning EngineerDraftKings · Remote - US

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. DraftKings postings stay open a median of 19 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 2 days ago

DraftKings median: 19 days open

The posting

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Senior Machine Learning Engineer on the Lottery Intelligence Team, you’ll build and scale machine learning solutions that turn complex operational data into accurate, reliable customer experiences. You’ll lead the development of computer vision and multimodal models, taking innovative solutions from experimentation to real-world deployment. Working alongside Engineering and cross-functional teams, you’ll improve model performance, strengthen customer trust, and help expand lottery fulfillment capabilities into new markets nationwide.

What you’ll do as a Senior Machine Learning Engineer

  • 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 that prepare, validate, and organize production data for model training, testing, and evaluation.
  • Develop robust 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 to maintain reliable performance.
  • 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, improve operational workflows, and strengthen the systems supporting lottery fulfillment.
  • Elevate engineering standards through code reviews, technical documentation, automated testing, and mentorship while contributing to the team's broader data infrastructure.

What you’ll bring

  • A 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, preferably Google Cloud, and 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, as is experience in lottery, gaming, financial technology, or other regulated industries.

#LI-EN1

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 134,400.00 USD - 168,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates 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 pay 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.

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