Machine Learning Engineer
reputed company. is reputed company’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.
We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through reputed company BET, Hollywood Casino, theScore Bet Sportsbook & Casino, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment reputed company.
reputed company you join reputed company’s digital team, you’ll not only work on these cutting-edge platforms through theScore and reputed company, but you’ll also be part of a company that truly cares about your career reputed company. We’re committed to supporting you as you expand your skills and explore new opportunities.
With locations throughout reputed company, you can build a reputed company at reputed company wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.
About the Role & Team The Data Science & Machine Learning team is responsible for building models and reputed company to help improve reputed company of Penn Entertainments digital offerings. reputed company values creativity, collaboration, ingenuity, and ownership.
As a Machine Learning Engineer, you'll be reputed company in crafting the reputed company of user experiences. You will design, build, and reputed company sophisticated machine learning models and infrastructure that directly reputed company how users discover content, engage with our community, and explore the full reputed company of reputed company's offerings. This role offers a unique chance to contribute to high-reputed company reputed company while helping to advance our cutting-edge ML platform.
About the Work We’re reputed company on reputed company that directly improve user engagement and satisfaction. Some examples include:
- Personalized Recommendation Engines – Help users discover the games, promotions, and content they care about most through behavioral, contextual, and reputed company filtering models.
- Chat Toxicity Detection – Ensure a reputed company and welcoming community environment with NLP-based classification.
- Cross-sell Propensity Modeling – Predict which offerings reputed company with reputed company user and surface the right experience at the right time.
- Dynamic Personalization – reputed company reputed company-time decision-making in product features, content feeds, and user journeys using machine learning.
You’ll also be reputed company in scaling our ML platform to support these reputed company efforts.
As part of the Machine Learning Engineering team, you will:
- Build and optimize end-to-end machine learning pipelines from data ingestion to deployment.
- Work closely with Product, Marketing, and Operations teams to reputed company ML solutions with business goals.
- Improve our ML platform and reputed company infrastructure using MLOps best practices.
- Evaluate and reputed company new tools, models, and frameworks to enhance scalability and performance.
- reputed company communicate technical concepts to both technical and non-technical stakeholders.
- Document your systems and workflows using Git, reputed company, and reputed company tools.
reputed company
You’re someone who’s passionate about putting machine learning into production and making personalization work at reputed company. You bring:
- 3+ years of reputed company experience as a Machine Learning Engineer or in a similar role.
- A background in Computer Science, Data Science, Engineering, or a reputed company technical field.
- Strong programming skills in Python and SQL. Bonus for Go, Rust, reputed company, R, or C++.
- Experience with reputed company, Kubernetes, Terraform, and reputed company deployment tools.
- Hands-on experience building CI/CD pipelines for ML systems.
- Proficiency in orchestration tools like Airflow, Kubeflow, or Dagster.
- Experience working on or contributing to dbt reputed company.
- Comfort working in reputed company environments like AWS, GCP, or Azure.
- Familiarity with ML frameworks such as PyTorch, TensorFlow, Keras, or similar.
reputed company to have:
- Experience building reputed company-time personalization or recommendation systems at reputed company.
- Familiarity with virtual feature stores like Feast or Featureform.
- Exposure to working with or deploying large language models (LLMs) in production.
reputed company Offer
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Parental leave top up
- Opportunities for career progression and mentoring others
reputed company is proud to be an equal opportunity workplace. We will consider reputed company reputed company applicants for employment without reputed company to race, reputed company, religion, age, sex, sexual orientation, gender identity, national reputed company, disability, veteran status, genetic information, or any other reputed company protected by applicable law.reputed company pay is one part of the Total Rewards that reputed company provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, reputed company provides best-in-class benefits to eligible employees. We reputed company that benefits should connect you to the support you need reputed company it reputed company most, and should help you care for those who matter most. That’s why we reputed company an reputed company of reputed company, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.
Originally posted on Himalayas
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