Pay
Lower than most similar jobs
$134K–$168K against $166K–$240K, the middle half of what similar US postings state.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Senior Machine Learning Engineer
Remote - US
Actively hiring, first seen by us 1 day ago- Pay
USD 134,400–168,000/year · BaseAnnual period assumed. Plus bonus, equity — pay source
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.
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote - US
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, train, and optimize computer vision and multimodal models for structured data
Fine-tune multimodal models with LoRA and hyperparameter optimization
Build and maintain scalable data pipelines for model training and evaluation
Deploy and monitor models on scalable cloud infrastructure with controlled rollouts
Integrate models into real-time processing, including barcode decoding and OCR
From the employer’s posting
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
Build and maintain scalable data pipelines that prepare, validate, and organize production data for model training, testing, and evaluation.
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.
Education & alternatives
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.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 71.
At DraftKings, jobs usually come down by about day 33.
From 4,620 similar postings that came down, and 16 of DraftKings’s. Coming down is not always a hire.
DraftKings is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 13% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Kotlin
- Python
- Datadog
- Docker
- Kubernetes
- Hugging Face
- PyTorch
- Transformers
- GCP
Where the posting names them
- 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
- 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.
- 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.
Your next step
Complete your application on draftkings.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has DraftKings posted this job before?
Yes. We’ve followed 3 other Senior Machine Learning Engineer jobs there since July 2026. 2 came down, usually after about 28 days. One is still up.
Large employers often post one title for several teams, so these can be separate openings.
About DraftKings
- People
- About 5,500 in 2025, up 8% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DKNG.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Remote - US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.