ApplySarthiStaff Machine Learning Engineer - Applied ML & Research
Super
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1,090 open learning roles across 267 companies are on ApplySarthi right now, most of them in Bengaluru (63), Hyderabad (24), Delhi NCR (14).
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What learning roles keep asking for: Machine learning (48%), Python (36%), LLMs (22%), PyTorch (22%), Deep learning (16%), AWS (13%), Generative AI (12%) — counted across their open postings here.
Remote Machine Learning Engineer jobs · AWS jobs · Airflow jobs · Kafka jobs · LLMs jobs
Super has 8 open roles listed here.
- Senior Sports Quantitative Analyst
- Senior Product Manager - Sports Trading
- Senior Engineering Manager- Payment Experience
- Senior Engineering Manager - Machine Learning
- Head of Product Design - Manager role
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for learning roles keep coming back to Machine learning, Python, LLMs, PyTorch. Practise those questions before you sit with Super.
Questions you are likely to be asked
- Why do you want to join Super?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Staff Machine Learning Engineer - Applied ML & Research at Super interview free →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.
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.
What the role involves
- Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders
- Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement
What we are looking for
- Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field
- 7+ years of industry experience building and deploying ML models at scale
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy
- Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- A track record of shipping production-level ML products and maintaining high code quality
- Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones
Nice to have
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
- Exposure to streaming data platforms such as Kafka
- Contributions to open-source ML projects or publications in ML conferences
What we offer
- Medical / Health Insurance
- Open Annual Leave
- Employee Assistance Programme
- Training & Learning Development
Additional benefits vary by country and will be shared during the hiring process.
About Super
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.
Shaping the Future of Play
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: super.xyz/careers
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).
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.
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Listed on arbeitnow · posted 2026-09-27. ApplySarthi collects openings and links to application pages; the role is advertised by Super, not by us.