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- Tasks: Design and refine machine learning models to transform customer experiences and operations.
- Company: Join DraftKings, a leading tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact in the industry.
- Qualifications: 5+ years in engineering with expertise in machine learning and Python.
- Other info: Collaborative environment with a focus on ethical AI and continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
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.
WHAT YOU’LL DO AS A SENIOR MACHINE LEARNING ENGINEER- Design and refine efficient pipelines for training, evaluating, and deploying machine learning models.
- Implement robust testing and statistical analysis frameworks for validating machine learning model performance.
- Enhance model readiness for production, optimizing computational efficiency, latency, and resource use.
- Establish real-time performance tracking, addressing data drift and model decay for accuracy maintenance.
- Collaborate within multi-disciplinary teams to design, build, and deploy scalable ML applications.
- Lead the adoption of machine learning best practices and innovations, including ethical AI considerations.
- 5+ years of engineering experience with 2+ years building and operating ML/AI Systems.
- Deep understanding of machine learning and statistics applied to solve real-world challenges successfully.
- Skilled in full machine learning lifecycle management, from data preparation to deployment and monitoring.
- Expert in Python with experience in other languages or tools, beneficial for scaling ML deployments.
- Experience with platform and infrastructure technologies, including Databricks, Kubernetes, and Terraform.
- Excellent leadership and communication skills, capable of influencing within and across teams and stakeholders.
- Committed to ongoing learning and staying current with industry trends and emerging ML technologies.
- Coaching and mentoring other team members, helping them develop.
- The ability to work with autonomy, identifying and actioning technical initiatives.
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.
Senior Machine Learning Engineer employer: DraftKings
Contact Detail:
DraftKings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at DraftKings. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you've tackled real-world challenges in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the DraftKings team.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your expertise in machine learning, Python, and any relevant technologies like Databricks or Kubernetes. We want to see how you can contribute to shaping the future with us!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for AI and innovation. Share specific examples of how you've tackled real-world challenges using machine learning. Let us know why you're excited about joining DraftKings and how you can help us drive progress together.
Showcase Your Projects: If you've worked on interesting ML projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and deploy scalable ML applications. We love seeing practical applications of your skills and how you’ve led initiatives in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at DraftKings
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss your experience with the full ML lifecycle, from data prep to deployment. They’ll want to hear about specific projects where you’ve implemented models and how you tackled challenges.
✨Showcase Your Collaboration Skills
Since this role involves working with multi-disciplinary teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you led a project or mentored others, as this will demonstrate your leadership abilities.
✨Get Familiar with Their Tech Stack
DraftKings is using tools like Databricks, Kubernetes, and Terraform. If you have experience with these, great! If not, do some research and be ready to discuss how you would approach using these technologies in your work.
✨Stay Current and Curious
They’re looking for someone committed to ongoing learning. Be prepared to talk about recent trends in AI and machine learning that excite you. This shows you’re not just knowledgeable but also passionate about the field and eager to contribute to their innovative environment.