Staff Machine Learning Engineer - Applied ML & Research
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Engineering, Data
- Source
- arbeitnow
- First observed
- 2026-09-27 13:56 UTC
- Last seen
- 2026-09-27 15:03 UTC
- Source claims posted
- 2026-09-27 12:55 UTC
- Consecutive misses
- 0 of 3
What the posting says
<div class="content-intro"><p>We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.</p></div><p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">As a Staff Machine Learning Engineer in the Applied ML & Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking — you'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>What the role involves</strong></p> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Translate complex technical concepts into clear insights for both technical and non-technical stakeholders</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement</li> </ul> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>What we are looking for</strong></p> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">7+ years of industry experience building and deploying ML models at scale</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Proven ability to lead cross-functional technical initiatives and influence engineering strategy</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">A track record of shipping production-level ML products and maintaining high code quality</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones</li> </ul> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>Nice to have</strong></p> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Familiarity with ML tooling such as MLflow, ZenML, or Metaflow</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Exposure to streaming data platforms such as Kafka</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Contributions to open-source ML projects or publications in ML conferences</li> </ul> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>What we offer</strong></p> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Medical / Health Insurance</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Open Annual Leave</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Employee Assistance Programme</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Training & Learning Development</li> </ul> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Additional benefits vary by country and will be shared during the hiring process.</p><div class="content-conclusion"><p><strong>About Super</strong></p> <p>We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.</p> <p><strong>Shaping the Future of Play</strong></p> <p>Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: <a href="http://super.xyz/careers">super.xyz/careers</a> </p> <p><em>Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).</em></p> <p><em>At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.</em></p></div>
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Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- x Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
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Timeline
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#1031627 2026-09-27 13:56 UTCPublished
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#1032624 2026-09-27 15:03 UTCModified
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Description
<div class="content-intro"><p>We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America,...-><div class="content-intro"><p>We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America,...
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Description