Machine Learning Engineer I

Flow Traders

Flow Traders is looking for a Senior Research Engineer, successful candidate will be relocated to our Hong Kong Office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.  As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves. WHAT YOU WILL DO * Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production * Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals WHAT YOU NEED TO SUCCEED * Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar * 8+ years of hands-on experience MLOps, Research Engineering, or ML Research * A strong background in mathematics and statistics * Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray. * Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring * Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability) * Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes) Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

JetBrains

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive. By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI. AS PART OF OUR TEAM, YOU WILL: * Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges. * Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production. * Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents. * Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models. * Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems. * Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation. WE’LL BE HAPPY TO HAVE YOU ON OUR TEAM IF YOU HAVE: * Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks. * A solid understanding of the ML lifecycle from idea to the customer-facing application. * The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases. * A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions. * Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity. * At least three years of Python experience writing clean, maintainable code in modern ML codebases. OUR IDEAL CANDIDATE WOULD HAVE EXPERIENCE WITH: * ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow. * Developing infrastructure components and services using cluster solutions like Kubernetes. * The development of Python-based backend services. * Creating and maintaining ML pipelines, including legacy ones. * Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar. WE’D BE ESPECIALLY THRILLED IF YOU HAVE EXPERIENCE WITH:  * LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT. * Writing and maintaining Python libraries used by internal (or external) ML engineers. * A strong theoretical background in NLP and transformer-based approaches. * Writing code in Java and/or Kotlin. #LI-HYBRID #LI-MR1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.   The Opportunity Adyen operates as a full-stack payment processor and licensed global banking institution, capturing the behavior and complex interactions of billions of shoppers and millions of businesses worldwide. As we scale our footprint in banking, card issuing, and embedded financial products, the financial risk profiles we manage are significantly higher than traditional payment processing alone. We are leveraging our unique position to build advanced, data-driven risk management capabilities to proactively detect and mitigate platform fraud and commercial risk. We are looking for a Group Product Manager (GPM) to lead and develop a senior team of product managers within Adyen’s Commercial Risk & Platform Fraud group. This is not a standard product role. We need an all-around biztech leader who possesses strong technical instincts but treats the domain like a high-growth business, balancing architecture with a commercial mindset, regulatory strategy, and high-friction cross-functional alignment.   What You'll Do * Drive Commercial Excellence: Formulate and execute a strategic vision that transforms risk mitigation into customer value. Treat these premium, paid capabilities like your own business, balancing pricing strategy, revenue drivers, and costs to ensure responsible growth. * Lead & Develop Senior Talent: Direct, coach, and elevate a team of high-performing product managers within Adyen’s Commercial Risk & Platform Fraud group. * Architect Smart Trade-offs: Simplify an ambiguous space by defining clear, actionable use cases with your engineering and partner teams. Strategically decide when to deploy automated technical solutions (such as AI/ML models) versus operational support to optimize merchant value. * Pragmatic Regulatory Strategy: Act as the ultimate product authority for Commercial Risk & Platform Fraud across Adyen. Partner closely with Compliance, Regulatory, and Operations teams to design resilient, auditable capabilities, bringing a pragmatic commercial lens to regulatory interpretation rather than blindly following rigid frameworks. * Lead Through Friction: Drive alignment and partner closely with Engineering, Commercial, Risk, and Operations teams without direct authority. Raise the bar for product clarity and prioritization discipline, making the tough, objective trade-offs necessary to unlock long-term value, even when it means saying "no" to specific groups.   Who You Are * Accelerated Product Leader: You have 8+ years of product management experience, with a track record of progression into leadership roles. You have launched and evolved complex products across every stage of the product lifecycle. * People Manager & Coach: You bring hands-on experience hiring, managing, and developing product managers of various levels, with a proven ability to build a collaborative culture of growth, coaching, and mentorship. * Commercial GM Mindset: You bring a highly analytical, metrics-driven approach to decision-making. You deeply understand revenue drivers, costs, and portfolio management, behaving with the strategic accountability of a P&L owner to optimize business outcomes. * Strong Tech & AI/ML Instincts: You have a solid conceptual grasp of machine learning, AI, and advanced data-science models. While you don't need to be an ML engineer, you have the technical confidence to collaborate with engineering teams on building products rooted in petabyte-scale datasets. * Master of Influence: You are a clear, confident, and fearless communicator across technical, commercial, and executive audiences globally. You have a track record of driving cross-functional alignment and managing complex stakeholders without direct authority.   Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!   What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.