{"jobs":[{"data":{"slug":"11555","language":"en-us","languages":["en-us"],"req_id":"11555","title":"Machine Learning Engineering Internship: Summer 2027","description":"Overview Our Machine Learning Engineering Internship is a 10-week immersive experience designed for students who are passionate about building the systems at the intersection of machine learning, large-scale data, and markets. As a Machine Learning Engineering Intern, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time engineering team. You'll apply your software engineering skills to real machine learning systems while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. A model is useful only if it can be trained quickly, fed reliably, and run fast enough to act on - our engineers own the systems that make that true, and we scope intern projects the same way. Susquehanna's proprietary datasets and computing infrastructure - including a rapidly growing cluster of thousands of high-end GPUs - support computationally intensive training, simulation, and rapid experimentation. Engineering teams here are small and highly collaborative, ideas are debated openly, and work that proves out reaches production quickly. What You Can Expect Build and optimize training pipelines that run across our GPU infrastructure, including distributed training for large models Work on inference and deployment — the latency, throughput, and cost of models running in production trading systems Develop the data infrastructure behind our research, moving large and noisy market datasets through ingestion, storage, and transformation Profile and benchmark machine learning workloads, and contribute to the internal libraries and open-source tools our researchers rely on every day One-on-one mentorship from experienced engineers and researchers Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices No prior finance background required What we're looking for Currently pursuing a Bachelor's, Master's, or PhD in computer science, machine learning, electrical engineering, mathematics, physics, statistics, or a related technical field. Intention to graduate and begin full time employment by August 2028 Strong programming skills in Python, working comfort in a systems language such as C++, a plus Hands-on experience with machine learning frameworks such as PyTorch or JAX that goes beyond calling the API - training at scale, extending a library, or making an existing workflow measurably faster Exposure to the systems machine learning runs on: distributed training, GPU programming, orchestration, or large-scale data processing. 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Designed for intellectually curious and driven individuals with strong quantitative skillsets, our internship combines rigorous classroom-based education with real-world trading experience. Run by a team of dedicated senior traders, our education programme is widely recognised as being the best in the industry. Our classroom-based education covers topics such as ETF and options trading, game theory, and programming. Don’t worry if you don’t have a finance background – we will teach you everything you need to succeed. A core strength of our internship is that we combine our education with hands-on project work and trading simulations. Working alongside a dedicated mentor, you will have the opportunity to work on a real-world trading problem, which has the potential to impact our trading strategies, improve tools, or uncover new market insights. What we're looking for Problem solver: You enjoy solving puzzles and love it when you discover solutions to complex problems. Clear communicator: You enjoy building relationships with those you work closely with and are comfortable sharing ideas, expressing your thoughts, and listening to the views of others. Ambitious: You’re someone that enjoys setting personal goals and giving your all to achieve them. Be it in Arts, Sports, Academics, or another passion, you’re not afraid to put in the effort to reach your full potential. Penultimate-year or recently graduated student: You should have completed 3 years at university by June 2027. Successful interns will be invited to join our full-time graduate programme in either September 2027, January 2028 or August 2028, depending on availability. What’s in it for you: Education: You will attend classes covering a vast range of topics (Finance, Options, Mock Trading, Game Theory, Tech, Trader Talks, Poker, Speaker Seminars, In-house trading games… the list goes on!) from some of the most experienced employees at Susquehanna. Collaboration: You will get to work with a wide range of people in the classroom and through your project work; people who share a passion for mathematics, problem-solving, game theory, and technology. Decision-making: Game theory is central to Susquehanna’s history as a firm and our trading philosophy. Weekly poker classes, strategy board games, and proprietary trading games will challenge you to optimise outcomes, anticipate moves, and maximise your winnings. Culture: Our non-hierarchical, casual, and collaborative culture allows employees of every level to thrive. Perks: We offer a highly competitive compensation package to our interns. Located in Ireland’s Financial Services Centre, in the heart of Dublin’s city centre, our office features free onsite catering, a games room, and a fully equipped in-house gym. Throughout the summer, interns enjoy weekly social events. For those joining us from outside Dublin, we also provide accommodation for the duration of the internship. 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Be it in Arts, Sports, Academics, or another passion, you’re not afraid to put in the effort to reach your full potential. Penultimate-year or recently graduated student: You should have completed 3 years at university by June 2027. Successful interns will be invited to join our full-time graduate programme in either September 2027, January 2028 or August 2028, depending on availability. What’s in it for you: Education: You will attend classes covering a vast range of topics (Finance, Options, Mock Trading, Game Theory, Tech, Trader Talks, Poker, Speaker Seminars, In-house trading games… the list goes on!) from some of the most experienced employees at Susquehanna. Collaboration: You will get to work with a wide range of people in the classroom and through your project work; people who share a passion for mathematics, problem-solving, game theory, and technology. Decision-making: Game theory is central to Susquehanna’s history as a firm and our trading philosophy. 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Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together. Applicants must be legally eligible to work in Ireland Our Summer Internship is 10 weeks and runs from late June to late August. Applicants must be legally eligible to work in Ireland. **We hire for our quantitative trading internship on a rolling basis, therefore interested candidates are strongly encouraged to apply early. * Susquehanna is an equal opportunity employer, and we are committed to diversity and inclusion throughout our recruitment process. 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