Senior/Staff Machine Learning Engineer

<h3 class="heading-2 ace-line old-record-id-doxuslsyQOGHoiYb47TiA1n51Th"><strong>Who We Are</strong></h3> <p>At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.</p> <p>OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.&nbsp;</p> <p>Across our multiple offices globally, we are united by our core principles: <em>We Before Me</em>, <em>Do the Right Thing</em>, and <em>Get Things Done</em>. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.</p> <p>OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.</p> <h3 class="heading-2 ace-line old-record-id-doxus9qcafz8J9vhi3nwZgrckWg"><strong>About The Opportunity</strong></h3> <div data-page-id="JREHd8SRho8hzXxWRLOl2fqJg8v" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-Ra5ZdxbRcoWFz4xHvYYlU4bNgJd">Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions—signals that very few organizations can analyze together.</div> <div class="ace-line ace-line old-record-id-NKg9dFfmco6XEKx9hSDlK3ajg0g">The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model metrics. It is measured through prevented losses, improved approval rates, reduced false positives, faster investigations, and more reliable customer experiences.<br><br></div> <div class="ace-line ace-line old-record-id-MecOdZ17qodgM6xgrholmVDsgfh">This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams. You will work across the full ML lifecycle—from problem formulation, feature engineering, and model development to real-time deployment, monitoring, experimentation, and continuous iteration.</div> <div class="ace-line ace-line old-record-id-QXYHd7SRUoci7OxcAMRl2SRAgLg">You will also help shape how AI is used across the risk organization. LLM-assisted development, automated model workflows, AI-powered investigations, and intelligent review agents are part of the team’s daily work. We are looking for engineers who already use these tools effectively and can help establish safe, scalable, and production-ready AI practices.</div> <div class="ace-line ace-line old-record-id-QXYHd7SRUoci7OxcAMRl2SRAgLg">&nbsp;</div> <div class="ace-line ace-line old-record-id-QXYHd7SRUoci7OxcAMRl2SRAgLg"> <div data-page-id="JREHd8SRho8hzXxWRLOl2fqJg8v" data-lark-html-role="root" data-docx-has-block-data="false"> <h3 class="heading-2 ace-line old-record-id-NSpcdWGxTorINKxFj9ll5g2kgtg">What You’ll Be Doing</h3> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-QcXndk3t9o5627xNsc4lDX7mg4b" data-list="bullet"> <div>Design, build, and deploy machine learning models for risk use cases such as payment fraud, account takeover, scam detection, deposit and withdrawal risk, promotional abuse, customer risk assessment, and transaction monitoring.</div> </li> <li class="ace-line ace-line old-record-id-IGMtddGNhovFLLxtI2Bl2Dj0gGe" data-list="bullet"> <div>Own production ML systems end to end, including feature pipelines, training workflows, model serving, decision integrations, monitoring, alerting, drift detection, retraining, and incident response.</div> </li> <li class="ace-line ace-line old-record-id-SZeJdrRYUocYBpxJ9DvleuYrgPc" data-list="bullet"> <div>Partner with risk strategy and product teams to translate models into effective production controls, including approval, rejection, review, cooldown, limit adjustment, account restriction, and other risk mitigation actions.</div> </li> <li class="ace-line ace-line old-record-id-Oq0adwl5HooDq5xnvLrl7YURgSe" data-list="bullet"> <div>Work closely with risk operations teams to understand investigation workflows, incorporate reviewer feedback, improve model explainability, and continuously refine labels and training data.</div> </li> <li class="ace-line ace-line old-record-id-Rpw2dElrSoVQnVxvj8Bl1kVIgye" data-list="bullet"> <div>Apply AI-assisted development throughout the engineering workflow, using LLM coding tools to accelerate implementation, testing, debugging, analysis, and documentation while maintaining appropriate security and review standards.</div> </li> <li class="ace-line ace-line old-record-id-ZWChdW9SLo9AJvxud8qlgljsgRd" data-list="bullet"> <div>Develop AI-powered risk capabilities such as investigation agents, case summarization, evidence collection, review recommendations, alert triage, suspicious-entity mining, and automated decision support.</div> </li> <li class="ace-line ace-line old-record-id-L8iTdCeDuoY9XVxSmCOlWFZFgae" data-list="bullet"> <div>Take research-stage models into reliable production systems by validating feature logic, reviewing data quality, addressing latency and scalability constraints, and ensuring consistency between offline training and online inference.</div> </li> <li class="ace-line ace-line old-record-id-FgMqd5BSPoTAN8xGflElxRvngUb" data-list="bullet"> <div>Ensure models and decision systems are explainable, traceable, and well documented so that model outputs can be understood by risk operations, product stakeholders, internal governance teams, and regulators where applicable.</div> </li> <li class="ace-line ace-line old-record-id-E1zcdtgN9oDvL2xpG1Clecjjg4c" data-list="bullet"> <div>Design, build, and deploy LLM-based agents for risk operations and investigation workflows, including case triage, evidence retrieval, transaction analysis, alert summarization, review recommendations, and automated action orchestration.</div> </li> <li class="ace-line ace-line old-record-id-PMyedQr1xoZgqzxkdRpletQcgjf" data-list="bullet"> <div>Develop production-grade agent architectures using tool calling, retrieval-augmented generation, workflow orchestration, structured outputs, memory, guardrails, and human-in-the-loop controls.</div> </li> <li class="ace-line ace-line old-record-id-HRbSdpqJjoE4iIx9GMnlRJ74gqg" data-list="bullet"> <div>Build evaluation frameworks for LLM agents, measuring factual accuracy, task completion, decision consistency, latency, cost, reviewer acceptance, and operational impact. Ensure LLM agents operate safely in a regulated risk environment by implementing permission controls, audit logs, data privacy protections, prompt and tool security, fallback mechanisms, and clear escalation paths.</div> </li> </ul> <div data-page-id="JREHd8SRho8hzXxWRLOl2fqJg8v" data-lark-html-role="root" data-docx-has-block-data="false"> <h3 class="heading-2 ace-line old-record-id-AElpd8bLooAkaPxg0CSlwLk4gIg">What We Look For in You</h3> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-Ny0UdVvJ6osXWSxymtZlHZ0Pgcg" data-list="bullet"> <div>Significant professional experience in machine learning engineering, applied data science, or a closely related field, with a strong record of taking models from prototype to production. Scope and level will be calibrated based on experience.</div> </li> <li class="ace-line ace-line old-record-id-WZQJd2qIco3Gp8xI8uOlHYztgjb" data-list="bullet"> <div>Strong Python skills and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, XGBoost, LightGBM, or scikit-learn.</div> </li> <li class="ace-line ace-line old-record-id-Awqcd4cbkouwj2xaJ2zlCCL4gjh" data-list="bullet"> <div>Strong knowledge of applied machine learning fundamentals, including supervised learning, anomaly detection, representation learning, class-imbalanced modeling, model calibration, and evaluation under changing data distributions.</div> </li> <li class="ace-line ace-line old-record-id-ATBKdxilwofElAxGsnnlt52ggWb" data-list="bullet"> <div>Demonstrable fluency with AI-assisted engineering. You regularly use LLM coding tools, have built AI-integrated workflows or applications, and understand both the productivity benefits and the security, reliability, and governance risks.</div> </li> <li class="ace-line ace-line old-record-id-HvTjd4trNos1KcxVaARlk5z7gRb" data-list="bullet"> <div>Familiarity with model explainability techniques such as SHAP, feature attribution, reason-code generation, and model scorecards.</div> </li> <li class="ace-line ace-line old-record-id-BQ5Kdo08aoZaFtxYqvDlh01PgCQ" data-list="bullet"> <div>Hands-on experience designing and deploying production LLM agents, including agentic workflows, tool calling, retrieval-augmented generation, prompt and context management, structured output generation, and multi-step task orchestration.</div> </li> <li class="ace-line ace-line old-record-id-R3hgd8HitoeOJjxNQtAlnpT9gdg" data-list="bullet"> <div>Experience integrating LLM agents with internal systems, APIs, databases, search tools, case-management platforms, or decision engines to automate complex operational workflows.</div> </li> <li class="ace-line ace-line old-record-id-SJtSdQ0qmoHJuSxJr28lZM2cgDP" data-list="bullet"> <div>A strong understanding of LLM-agent evaluation and reliability, including hallucination control, grounding, observability, permissions, failure handling, human review, latency, and cost optimization.</div> </li> <li class="ace-line ace-line old-record-id-A5nAdLRyvolLj5xDxbqlAnyigce" data-list="bullet"> <div>Experience building AI agents for fraud, risk, compliance, customer operations, cybersecurity, or other high-stakes domains is a meaningful advantage.</div> </li> <li class="ace-line ace-line old-record-id-NIB5dNghHofalHxO9bWlJyRwgvh" data-list="bullet"> <div>Strong communication and collaboration skills, with the ability to work effectively with engineers, data scientists, risk specialists, product managers, operations teams, and legal or compliance stakeholders.</div> </li> </ul> <h3 class="heading-3 ace-line old-record-id-Xfu6dMaUkoTGqGx6arYu3QhKsZe"><strong>OKX Statement</strong></h3> <div class="ace-line ace-line old-record-id-BDVHdvrnCoy11xx8RoVuyc2As3g">The salary range for this position is&nbsp;<span class="text-only text-font-italic" data-eleid="22">$223,611 to $268,333</span>. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.</div> <div class="ace-line ace-line old-record-id-ZfHydXbNIo2qmdxmQCru8ZDksBd">&nbsp;</div> <div class="ace-line ace-line old-record-id-BWwndhjsUozjW6xZoNxuILk6s9e">OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div> </div> </div> </div> </div><div class="content-conclusion"><div data-lark-html-role="root"><span class="text-only" data-eleid="18"><span class="text-only"><span class="text-only" data-eleid="6">Notice:<br></span></span></span> <div data-lark-html-role="root"><span class="text-only" data-eleid="26"><span class="text-only">All official </span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">OKX</span><span class="text-only"> vacancies are published on this website.</span></span> <span class="text-only" data-eleid="28"><span class="text-only">While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. </span></span><strong><span class="text-only" data-eleid="29"><span class="text-only">If in doubt, please apply directly through our official careers website.</span></span></strong></div> </div> <div data-lark-html-role="root"><span class="text-only" data-eleid="18"><span class="text-only">Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to&nbsp;</span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">OKX</span><span class="text-only">'s </span></span><a class="link rich-text-anchor __anchor-intercept-flag__ text-content-link" href="https://www.okx.com/en-eu/help/okx-candidate-privacy-notice" target="_blank" data-eleid="19" data-lark-is-custom="true" data-lark-link="true">Candidate Privacy Notice</a><span class="text-only" data-eleid="20"><span class="text-only">.</span></span></div></div>