Engineering Manager, Machine Learning - Personalize Intelligence

About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring AI/ML Engineers across several teams, Trust & Safety, Lending, Growth, and Foundation Models, and you'll be matched with the team where your background, experience and interests fit best. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into decisions that protect members from fraud, expand access to credit, and power the personalized experiences and marketing that help millions of members get more out of products like MyPay, Instant Loans, and SpotMe — along with the foundational models the rest of our teams build on. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters. In this role, you can expect to Build, train, and deploy deep learning and classical ML models on large-scale financial, transactional, and behavioral datasets Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Contribute to the shared ML platform, tooling, and standards that the rest of the team builds on Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have Experience building and deploying deep learning models

About Trust & Safety Roles At Chime, we believe in the power of our product to help people lead healthier financial lives. The Trust & Safety team spans the full member lifecycle and is responsible for keeping our members' accounts safe, ensuring uninterrupted access to their money, and minimizing risk and fraud loss across the platform. We're hiring Product Managers across Trust & Safety to drive critical investments spanning transaction risk decisioning and member identity and account lifecycle. These roles sit at the intersection of customer experience, risk management, operations, and compliance—owning high-impact problem spaces where the tradeoffs are real and the stakes are high. You'll partner closely with Engineering, Data Science, Design, Operations, Risk, and Compliance to define strategy, ship impactful products, and continuously iterate based on data and insights. These are high-impact opportunities to shape how Chime balances growth, safety, and member experience at scale. Roles are available in either San Francisco, CA or Chicago, IL, and candidates may be based in either location. Open Roles Trust & Safety at Chime spans multiple product domains. Individual roles focus on one of these areas, contributing to a shared mission of protecting members and enabling safe, scalable growth: Transaction Risk Decisioning: Build the systems that evaluate transaction risk in real time across card payments, peer-to-peer payments, and bank transfers—raising authorization rates, containing emerging fraud patterns, and turning declines into recoverable experiences. Requires deep expertise in payments risk, including card network rules, authorization and decline codes, and dispute frameworks. Member Identity & Lifecycle: This team owns the core identity and account lifecycle capabilities that determine how Chime responds when a member is suspended, closed, re-enabled, or otherwise restricted. The team also serves as a critical partner to product team

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Solutions Engineering Team We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform. The Solutions Engineer, Auth0 Opportunity Reporting to the Sr. Manager, Solutions Engineering, Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. What you’

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Auth0 Sales Team Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Auth0 AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers. The Regional Sales Manager, Enterprise Auth0 Opportunity The successful Auth0 Regional Sales Manager is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats. As an Auth0 AE, you will be focused on providing value to Application Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Auth0 customers. This role requires travel to our San Francisco, CA or Chicago, IL office for in-person onboarding during the first week of employment. If reasonable accommodation is needed to participate in the job application, interview process, or onboarding please use this Form to request an accommodation. What you’ll be doing: Build a plan to guide your long-term approach to

About the Role We are looking for an experienced Credit Risk Data Scientist who is data-driven, has strong analytical and technical skills, and operates with a high degree of ownership. In this role, you will lead the credit strategy that lets Chime lend to people before they have a relationship with us — starting with Instant Loans for new members (top of funnel) and expanding to future unsecured credit products such as credit cards. You'll develop risk policies and strategies to manage credit risk throughout the member lifecycle, and you'll work as a trusted cross-functional partner with product, growth, data engineering, machine learning, and analytics teams, interacting with business stakeholders across many departments. In this role, you can expect to Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects (top of funnel) and extending to future unsecured products such as credit cards and/or lines of credit Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open application, referrals, and affiliates) that support growth while balancing risk, unit economics, and member experience Design and continuously iterate acquisition, loan amount / line assignment, pricing, line management, repayment, and collections strategies Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with our DSML team Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and quantify trade-offs among approvals, losses, direct deposit conversion, and lifetime value Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers Collaborate with data teams to build data infrastructure and early-read mon

Company: tastytrade Role: Senior Linux Infrastructure Engineer Location: Chicago, IL — Hybrid About the Role We are looking for a senior Linux engineer who is equal parts operator and builder. You will own the systems layer of our production environment — from the metal to the configuration management code. This is a hands-on role: you will jump into incidents, tackle challenging engineering problems, design systems that scale, and evaluate new software and architectures. This is not a role where the abstractions hide the machine. You are expected to be curious about what is underneath and to be the person other engineers come to when a system is behaving in a way nobody can explain. What You'll Do Own Linux performance. Diagnose and tune systems under real production load: CPU scheduling and NUMA placement, memory and page cache behavior, disk and filesystem I/O, and network stack tuning. Lead troubleshooting on hard problems. Work incidents methodically — form a hypothesis, find the cheapest test that falsifies it, and narrow the search rather than changing five things at once. Write postmortems, organize follow-up tasks, and future-proof the environment so the same issue does not recur. Write and maintain configuration management code. Build infrastructure declaratively with Salt, Ansible, Chef, or Puppet, treating that code with the same standards as application code: reviewed, tested, and version-controlled. Run containerized workloads. Build, deploy, and operate services on Kubernetes or Nomad, including scheduling behavior, resource limits, health checking, and the failure modes that only appear under contention. Automate in Bash and Python. Replace manual runbooks with tooling and streamline repeatable work. Operate core network services. Troubleshoot TCP/IP with confidence and bring solid networking fundamentals. Manage DNS and DHCP as production ser