ML Engineer, Forward Deployed

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. About the role Agentic Commerce is the most significant shift in digital payments since mobile. We are moving from a world where humans click "buy" to a world where AI agents negotiate, book, and transact on our behalf. We are looking for a strategic commercial operator to help define and execute Adyen’s Go-to-Market strategy for this emerging channel. You will not just be selling a product, you will be building the playbook for how the world’s largest enterprises accept payments from AI agents. This is a rare opportunity to sit at the intersection of Commercial GTM Strategy, Account Management, and Product. You will work closely with Adyen’s leadership to take our "Universal Translator" strategy to the market. What you’ll do * Define the Playbook: You will take our Agentic Commerce offering from "Pilot" to "Scale." This means identifying the right first-mover merchants, structuring the commercial approach, and creating the feedback loop between the market and our Product team. * Consult, Don’t Just Sell: You will act as a trusted advisor to C-level stakeholders at our largest merchants, helping them navigate the hype, understand the infrastructure risks (fraud, identity), and architect their data feeds for the agentic economy. * Orchestrate the Ecosystem: You will be the commercial bridge between our merchants and the major AI platforms (OpenAI, Google, etc.), ensuring Adyen remains the neutral connector in a fragmented ecosystem. * Enable the Organization: You will turn your learnings into a GTM engine, collaborating with marketing to train our wider Sales and Account Management teams to speak fluently about tokens, LLMs, and agentic protocols. * Protect the Merchant: You will champion our "Merchant-First" principles, ensuring that as protocols evolve, they prioritize merchant control, data privacy, and liability protection. * The Innovation Lab: You will be operating in the epicenter of the AI boom. Your focus will be on securing and managing high-velocity pilots with US-based AI platforms (San Francisco/Seattle/New York). * Speed to Market: You will help our largest US enterprise merchants (Retail, Mobility, Platforms) launch their first "Instant Checkout" use cases, moving quickly to capture early market share. Who you are * A Strategic Builder: You are comfortable working with ambiguity. You don't need a finished brochure to have a commercial conversation; you can co-create a solution with a client. * Commercially Sharp: You have a track record of navigating complex enterprise organizations and driving strategic initiatives that result in real volume, not just press releases. * Technically Fluent: You can explain the difference between a Network Token and a Virtual Card to a CFO, and debate API schemas with a Product Manager. You understand the nuances of the payments stack. * Curious about AI infrastructure: You are not an ML engineer, but you follow how agentic systems are evolving - agentic frameworks, how AI agents make decisions and initiate transactions. Familiarity with emerging agent protocols and how model providers are approaching commerce is a plus.  * Anti-Hype: You cut through the noise. You focus on solving real operational problems (inventory visibility, authentication, liability) rather than selling science fiction. * Collaborative: You thrive in a flat structure. You will be working closely across Commercial, Product, Legal, and Partnerships teams to clear hurdles, resolve challenges in real-time. * Experience: 6-8 years of experience in commercial-facing or GTM strategy roles. Previous experience in payments or financial technology is a plus Why now? Agentic commerce is in its infrastructure phase. The protocols, standards, and commercial models are being written and tested right now. In this role, you won't be executing an established playbook, you will be authoring it. Adyen processes payments for many of the world's largest, most sophisticated enterprises, which means the decisions we make here will shape how AI-initiated transactions work at scale, not just in theory. The annual base salary range for this role is $190,000 - $240,000 + RSUs. To learn more about our compensation philosophy, please click here.   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. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.   SAN FRANCISCO  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This role is based out of our New York office (three days in-office per week). We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You'll help build and operate QRT's internal AI platform, enabling researchers, developers and data scientists to leverage LLM-powered tools effectively at scale. Working alongside experienced Platform Engineers, you'll contribute to production AI services including RAG pipelines, agentic workflows, retrieval infrastructure and internal APIs. This role is ideal for an early-career engineer or recent graduate with a strong foundation in AI and machine learning who is excited to bring cutting-edge models into production systems. YOUR FUTURE ROLE WITHIN QRT: AI PLATFORM DEVELOPMENT - * Build and enhance internal AI services, APIs and production applications. * Contribute to RAG pipelines, including document ingestion, embeddings and retrieval. * Support the deployment of transformer-based models and agentic workflows. * Design scalable, well-documented APIs for internal users. PLATFORM RELIABILITY & QUALITY -  * Improve service reliability, latency and evaluation frameworks. * Contribute to prompt management, testing and human-in-the-loop controls. * Build resilient AI systems with monitoring and fallback mechanisms. OPERATIONS & OBSERVABILITY - * Implement monitoring, tracing and quality metrics across AI services. * Support deployment, versioning and lifecycle management. * Participate in operational support and incident response alongside senior engineers. YOUR PRESENT SKILLSET: We value a combination of academic achievement, research and practical experience. We do not expect candidates to meet every requirement below. * Bachelor's, Master's or PhD in Computer Science, Machine Learning, Engineering, Mathematics or another quantitative field, or equivalent practical experience. * Strong foundation in AI and machine learning, including exposure to transformers and reinforcement learning. * Strong Python skills and an interest in building production-grade software. * Experience with PyTorch or another deep learning framework. * Understanding of LLM fundamentals, including prompting, context management and model limitations. * Experience building AI/ML applications or working with LLMs or other deep learning models. * Exposure to cloud platforms (e.g. AWS) and modern software engineering practices. * Strong communication skills and the ability to collaborate across technical and non-technical teams. NICE TO HAVE: * Experience deploying ML or LLM models into production. * Familiarity with RAG systems, vector databases and retrieval techniques. * Experience with agentic AI systems, workflow orchestration or LLM evaluation. * Understanding of embeddings, retrieval performance and human-in-the-loop systems. * Experience building APIs, data pipelines or observability tooling. * Contributions to open-source projects, research publications or ML competitions (e.g. Kaggle).   Base salary range for this position is $180,000 to $300,000 per year.  QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.