Penn Interactive

Senior Software Engineer, ML Platform

Senior Data Scientist

Analytics Engineer

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Senior Technical Compliance Analyst - Security

Senior Technical Security Analyst

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The Machine Learning Engineering team at Penn Entertainment is seeking a Senior Software Engineer, ML Platform. This role involves designing, building, and deploying sophisticated machine learning models and infrastructure to enhance user experiences across Penn Entertainment's digital offerings. Key projects include personalized recommendation engines, experimentation frameworks, dynamic personalization, and cutting-edge MLOps using tools like GCP, Kubernetes, PyTorch, and Dagster. The engineer will optimize ML pipelines, collaborate with various teams, and improve the ML platform.

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 ESPN 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 strategy.When you join the digital team, you’ll not only work on these cutting-edge platforms through theScore and Penn Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.With locations throughout North America, you can build a future wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the Role & Team</h2>The Machine Learning Engineering team is responsible for building, deploying, and optimizing models and APIs to help improve all of Penn Entertainments digital offerings. Our team values creativity, collaboration, ingenuity, and ownership. As a Senior Software Engineer, ML Platform you'll be instrumental in crafting the next generation of user experiences. You will design, build, and deploy sophisticated machine learning models and infrastructure that directly impact how users discover content, engage with our community, and explore the full spectrum of offerings. This role offers a unique chance to contribute to high-impact projects while helping to advance our cutting-edge ML platform.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the Work</h2>We're focused on projects that directly improve user engagement and satisfaction. Some examples include:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Personalized Recommendation Engines: Connect users with the content, games, and promotions they'll love.</li><li class="leading-relaxed">Experimentation Framework: Guide data-driven decision-making by providing foundations for AB testing and experimentation.</li><li class="leading-relaxed">Dynamic Personalization: Implement real-time, ML-driven decisions to create seamless user journeys.</li><li class="leading-relaxed">Cutting-Edge MLOps: Help us scale our ML platform using the latest tools and best practices (GCP, Kubernetes, PyTorch, Dagster, and more).</li></ul>As part of the Machine Learning Engineering team, you will:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build and optimize end-to-end machine learning pipelines from data ingestion to deployment.</li><li class="leading-relaxed">Work closely with Product, Marketing, and Operations teams to align ML solutions with business goals.</li><li class="leading-relaxed">Improve our ML platform and deploy infrastructure using MLOps best practices.</li><li class="leading-relaxed">Evaluate and integrate new tools, models, and frameworks to enhance scalability and performance.</li><li class="leading-relaxed">Clearly communicate technical concepts to both technical and non-technical stakeholders.</li><li class="leading-relaxed">Document your systems and workflows using Git, Confluence, and related tools.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About You</h2>You’re someone who’s passionate about putting machine learning into production and making personalization work at scale. You bring:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience: 5+ years of experience in ML, data, distributed streaming, and backend systems software engineering, with demonstrated experience building ML systems in production.</li><li class="leading-relaxed">Technical Skills: Extensive proficiency in Python and SQL. Deep familiarity with cloud platforms such as GCP, AWS, or Azure.</li><li class="leading-relaxed">MLOps & Infrastructure: Hands-on experience with ML model deployment, CI/CD pipelines, IaC tools (Terraform), containerization (Docker, Kubernetes), and orchestration tools (Dagster, Airflow, Kubeflow, or similar).</li><li class="leading-relaxed">ML Tooling: Experience with model packaging and serving technologies such as TensorFlow, Pytorch, MLflow, Vertex AI, or AWS SageMaker.</li><li class="leading-relaxed">Collaboration: Strong communication skills and a desire to work cross-functionally with data scientists, ML engineers, and platform teams.</li><li class="leading-relaxed">Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Nice to have:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Significant experience building real-time personalization and/or recommendation systems at scale.</li><li class="leading-relaxed">Extensive familiarity with monitoring, observability, and alerting tools for scalable distributed ML systems.</li><li class="leading-relaxed">Exposure to working with or deploying large language models (LLMs) in production.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">What We Offer</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Competitive compensation package</li><li class="leading-relaxed">Fun, relaxed work environment</li><li class="leading-relaxed">Education and conference reimbursements.</li><li class="leading-relaxed">Opportunities for career progression and mentoring others</li></ul>#LI-REMOTE

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Globalization Partners

Sr. Software Engineer

truecaller

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G-P is seeking a Sr. Software Engineer to design and develop its best-in-class cloud platform. This role involves building frameworks and services, developing serverless-first solutions, and creating production-quality features. The engineer will advocate for agile methodologies, quality, and scalability, diagnose issues, and support other engineers. G-P's platform enables global expansion for clients, fostering a remote-first, diverse, and innovative environment.

G-P helps growing companies unlock their full potential by making it possible to build highly skilled global teams in days instead of months. Through our SaaS-based platform, we help find, hire, onboard, pay, and manage team members, quickly and compliantly, to expand growth opportunities for everyone, everywhere – without the hassle of setting up local subsidiaries or branch offices. G-P. Global Made Possible.

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Principal Product Manager

Partner Marketing Manager

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Sr. Technical Program Manager - Information Security

Sr Event Marketing manager

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About Us</h2>Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About this Position</h2><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Job Profile</h3><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What you will do:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design and develop our best-in-class cloud platform, working on all parts of the G-P ecosystem and building frameworks and services to build the platform.</li><li class="leading-relaxed">Develop solutions that fit a cloud-managed and serverless-first platform ecosystem</li><li class="leading-relaxed">Build quick prototypes to refine concepts, then turn them into real production-quality features</li><li class="leading-relaxed">Advocate and evangelize modern agile methodologies and best practices such as the Well Architected Framework</li><li class="leading-relaxed">Advocate and evangelize quality and scalability mindset and building software with scale and speed</li><li class="leading-relaxed">Diagnose and fix issues reported by internal teams and customers</li><li class="leading-relaxed">Develop and promote a full spectrum of test suites and quality mindset (unit, contract, integration, etc)</li><li class="leading-relaxed">Support and develop software engineers by providing advice, coaching and educational opportunities</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What we are looking for:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">7+ years of experience in developing highly scalable enterprise level services, platforms or products.</li><li class="leading-relaxed">Extensive experience in building large scale distributed enterprise applications in geographically distributed teams</li><li class="leading-relaxed">Deep knowledge of backend stack with knowledge in most or all of the following: Node.js,Java, Python, Redis, Golang</li><li class="leading-relaxed">Knowledge of and experience choosing between SQL and NoSQL database technologies such as MySQL/PostgreSQL and MongoDB/DynamoDB</li><li class="leading-relaxed">Knowledge of modern cloud architectures and technologies; experience with AWS is a plus</li><li class="leading-relaxed">Excellent communication skills and experience documenting and delivering technical concepts to both technical and non-technical audiences</li><li class="leading-relaxed">Experience in a startup or high-growth environment and ability to hustle is desirable</li><li class="leading-relaxed">Hands-on experience in any of the following areas a plus:</li><li class="leading-relaxed">Data modeling, data architecture, and data governance</li><li class="leading-relaxed">AWS Serverless experience</li><li class="leading-relaxed">Integrating CRM systems such as Salesforce with internal systems</li><li class="leading-relaxed">Integrating 3rd party systems with internal and external workflows</li><li class="leading-relaxed">Business workflow orchestration / choreography patterns</li><li class="leading-relaxed">Prior hands-on experience with AI/ML frameworks and applied machine learning in production environments will be strongly preferred</li></ul>Individuals with disabilities are encouraged to apply for these positions.We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks.G-P. Global Made Possible.G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. 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Senior Software Engineer, ML Platform

Senior Data Scientist

Senior Data Scientist

Analytics Engineer

Analytics Engineer

VIP Host

Senior Technical Compliance Analyst - Security

Senior Technical Security Analyst

Social Media Coordinator

Job Details