Senior Machine Learning Engineer
(Calculated after EPF (12%), Gratuity (4.81%), Professional Tax & New Tax Regime FY 2025-26 deductions)
- Target Role:Senior Machine Learning Engineer
- Employer:DraftKings Inc.
- Work Mode:REMOTE
- Location:Remote (United States)
- Compensation:USD 134,400 - 168,000 / annual
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
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, includ
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
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What is the compensation or stipend for this role?▼
The verified package for this role is USD 134,400 - 168,000 / annual (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Data Science, Python, Predictive Modeling, Machine Learning are encouraged to apply.
How does RoleNest Truth Teller protect applicants from ghosting?▼
Truth Teller tracks candidate application timestamps and recruiter response telemetry. If DraftKings Inc. does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.
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