Machine Learning Engineer Radar Jobs

Key Responsibilities : 4–7 years of experience in Fraud Risk Management, Trust & Safety, or Risk Engineering, ideally in fintech, payments, or banking Hands-on experience building or operating real-time fraud detection and transaction monitoring systems Strong understanding of risk scoring, rules engines, and/or ML-based fraud detection approaches Experience working with payment flows, UPI, wallets, or similar transaction-heavy systems Familiarity with regulatory requirements around fraud and risk controls — NPCI, RBI, sanctions/watchlist screening, suspicious-transaction reporting, and comparable regimes Proficiency in Python or a similar language; comfortable working with SQL and large transactional datasets Strong analytical mindset, with the ability to translate emerging fraud patterns and typologies into actionable detection logic Comfortable owning a control that only works if someone actually works it — the review queue and escalation path are real from the day you’re behind them Experience with UPI/TPAP ecosystems or NPCI-regulated payment products is a plus Experience with case management tools and fraud investigation workflows is a plus Exposure to machine learning-based risk models in production, including model governance and drift monitoring, is a plus Prior experience supporting statutory or regulatory audits related to fraud or risk controls is a plus

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Software Engineer on Account Security, you will help protect Roblox users, creators, and the broader community from bad actors. We are an outcome oriented team that has the tremendous latitude to make changes across the Roblox technical stack to secure accounts. Past examples of work include work to model post-login suspicion, cryptographically bind user credentials to devices, malware detection, and work to detect and prevent asset laundering that typically is used to monetize ATOs. You'll join Roblox's Safety organization, whose mission is to become the leader in civil immersive online communities by detecting, removing, and preventing problematic accounts, content, and behavior, and by keeping accounts secure and free from compromise. The team draws on a broad tech spectrum, including machine learning, classifiers, experimentation, automation, and AI-powered filters, partnering with product teams to shape the roadmap, build safety products, and measure impact on our community of users and developers. You Will: Own the design, implementation and landing of features to prevent, detect and mitigate account takeovers. Collaborate cross-organizationally with partner teams in InfoSec, Eco

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Operator Tooling builds software that helps Stripe’s operations teams spend less time on manual processes and more time on the work that needs their expertise. We tackle some of the ugliest and most challenging workflows inside Stripe, from Money Laundering, to Fraud, to Legal battles. It all comes down to how do we make the trillion dollar engine not just process money, but do it in a way that everyone is safe while doing it. What you’ll do You’ll build and improve the platforms Stripe’s operations teams use to manage their work. Working across backend systems, machine learning engines, you’ll turn complex operational needs into reliable tools and integrations, partnering directly with internal users to understand their workflows and improve their experience. To put it easy: we make humans focus on the important work and automate away the noise. Responsibilities Own problems from end to end, managing complexity and working directly with stakeholders to understand business impact, reliability, and operability Contribute to the product roadmap, help shape the team’s vision and strategy, and act as a sounding board for team leadership Uphold Stripe’s high standards for engineering and product quality Mentor newer team members and help them develop their engineering skills Work with stakeholders across Stripe to understand competing needs and balance priorities Keep our systems running smoothly and scale them with an impact-first mindset Who

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. About Okta Okta is an enterprise grade identity management service, built from the ground up in the cloud and delivered with an unwavering focus on customer success. With Okta you can manage access across any application, person, or device. Whether the people are employees, partners, or customers, or the applications are in the cloud, on premises, or on a mobile device, Okta helps you become more secure, make people more productive, and maintain compliance. The Okta service provides directory services, single sign-on, strong authentication, provisioning, workflow, and built in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems. About the Team The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables: Streaming analytics Interactive end-user reporting Data and ML platform for Okta to scale Telemetry of our products and data Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever. About the Position This is an opportunity for experienced Softwa

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Intro The Yield Enhancement organization partners closely with Fab and Yield Engineering teams to monitor manufacturing performance, investigate defect issues, and drive yield improvement through detailed electrical and failure analysis. Position Overview The Yield Enhancement Electrical Failure Analysis Engineer performs investigative electrical failure analysis to identify, categorize, and resolve defect issues impacting yield. This role combines hands-on electrical characterization, advanced data analytics, automation, and AI-enabled engineering workflows to accelerate defect detection, root cause identification, and yield improvement. The engineer monitors manufacturing performance, prioritizes yield-related investigations, and delivers data-driven insights and clear reporting to support business decisions and continuous improvement. Responsibilities Perform electrical and failure analysis in alignment with defined area skill guidelines and summarize findings using clear, data-driven reporting and AI-assisted documentation tools. Operate and support lab equipment while adhering to safety guidelines and supporting department and company objectives. Drive root cause investigations by correlating electrical test data, FA results, process information, manufacturing history, and AI-generated insights to identify yield detractors and recommend corrective actions. Develop and maintain yield monitoring meth

About the Team DoorDash’s ML Serving Platform delivers tens of millions of predictions per second , powering search, recommendations, advertising, delivery estimates, and logistics across DoorDash, Wolt, and Deliveroo. Our customers are modelers and engineering teams across our internal business verticals. We build self-serve infrastructure that empowers them to bring new models into production, adopt open source software and models, and expand what they can accomplish with machine learning at scale. We work at the intersection of a rapidly evolving open source ecosystem and demanding production workloads. With active customer demand and growing modeling ambitions, we’re advancing the infrastructure behind today’s predictions while building the capabilities that enable the next generation of ML innovation. About the Role You’ll help build the next generation of our ML serving platform, connecting request routing and online feature retrieval with model inference on CPU and GPU infrastructure. You’ll tackle challenging infrastructure problems involving latency, reliability, resource efficiency, and scale, and make those capabilities accessible through self-serve tools and workflows. Working alongside experienced platform engineers, you’ll own defined projects from technical design and implementation through testing, rollout, and production support. You’ll partner directly with internal teams to understand emerging modeling requirements, remove adoption barriers, and turn advances in open source technology into measurable production improvements. You’re excited about this opportunity because you will… Empower modelers through self-serve infrastructure. Build tools, APIs, and workflows that help internal teams deploy, configure, validate, and operate models independently, accelerating ML adoption across business verticals. Bring open source innovation into production. Evaluate and integrate evolving inference frameworks and enable open source models, translating promisi

We're building the future of Speech Intelligence at Speechmatics, and we need someone who can own the technical engine behind how customers discover, adopt, and grow with our platform. This is a hands-on backend engineering role, where your work directly shapes the journey from a customer's first interaction with our website to their first meaningful moment of value. If you thrive shipping, iterating, and making a measurable commercial difference, then we’d love to hear from you. What you'll do Own the backend development and ongoing health of the Speechmatics website and self-serve portal Build and maintain new custom components from scratch, turning design specifications into reliable, performant, production-ready code Manage Vercel deployments and backend infrastructure, keeping the live site fast, stable, and technically sound Implement UI design changes end-to-end, bridging the gap between what's designed and what goes live Write Python-based queries to surface insights across the self-serve portal and support data-driven decisions across the team Identify and act on opportunities to improve conversion across the self-serve funnel through well-timed, well-designed product experiences Collaborate closely with product, design, and data teams in a cross-functional, async-friendly way, working closely together to remove blockers and unlock opportunities Own the ongoing improvement of site performance, loading speed, and technical reliability What you'll need Proficiency in JavaScript and TypeScript for website backend development, with a track record of shipping and maintaining production code Hands-on Python experience, particularly for data queries Demonstrable experience with LLM and AI-first development workflows, tools like Claude, Cursor, or similar Experience in a product-led growth or self-serve SaaS environment, with a clear understanding of conversion funnels and how engineering choices affect them The ability to operate

Location Qualifications: Bucharest (hybrid, 2 days in the office) About the position As an AI Engineer at Showpad, you will contribute to our AI and machine learning initiatives, working closely with cross-functional teams to develop and implement AI technologies that align with our business goals. You'll collaborate with experienced engineers to build impactful solutions and grow your expertise in a fast-moving space. You'll work with state-of-the-art technologies such as LLM models like LLama 3/3.1, Claude models, AWS Bedrock, AWS Sagemaker, and AWS OpenSearch. Our primary languages are Python, TypeScript, and Kotlin. The AI and Generative AI space is evolving rapidly, and so are we — we continuously update to the newest models, track emerging techniques, and engage in extensive experimentation with prompt engineering. Key Responsibilities Design, develop, and maintain AI models to solve complex business problems Contribute to projects from scoping through to release, under the guidance of senior engineers Support the performance and reliability of AI and machine learning systems Collaborate effectively across teams, sharing progress and surfacing blockers early Design, craft, and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs Contribute to engineering and product discussions, bringing fresh perspectives. Are you our next AI Engineer? Must haves Educational background in Computer Science, Machine Learning, AI, or a related field — or equivalent knowledge gained through hands-on experience Experience developing and implementing AI models and algorithms Good knowledge of Python Hands-on experience working with LLMs and other Generative AI models Experience working with AWS or other cloud providers Strong problem-solving skills and the ability to think critically and creatively Good communication and collaboration skills Nice to haves Experience building retrieval augmented generation (RAG) systems Experience with s

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are the Firmware & Product Test (FPT) team, responsible for validating the firmware that powers Micron's enterprise SSD products. Our team develops scalable automation, advances validation methodologies, and works closely with firmware, hardware, and systems engineers to deliver reliable, high-quality storage solutions. If you enjoy solving complex technical problems, building automation, and gaining deep exposure to SSD technology, you'll find exciting opportunities here! As a Senior Engineer on the FPT team, you will contribute directly to the validation of next-generation SSD features and technologies. You will develop automated test solutions, investigate complex issues, and work alongside experienced engineers to ensure products meet customer requirements and industry standards. This role offers hands-on experience with SSD architecture, test automation, AI-assisted engineering tools, and multi-functional collaboration across the product development lifecycle. Responsibilities: Design, develop, and implement automated test content for SSD firmware features, including NVMe and customer-specific requirements Develop and maintain functional, performance, stress, interoperability, and negative test cases using established frameworks and automation tools Investigate regression and field failures, perform root-cause analysis, and communicate findings to multi-functional teams Enhance test automation, CI-based regression systems, reporting tools, and validation workflows to improve covera

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . As a Lead Platform Operations Engineer, you’ll build the technical foundation for Upwork’s new international office while helping bring our cloud and Kubernetes infrastructure into one consistent operating model. In your first months, you’ll stand up the office network, take ownership of local technical operations, and act as the on-site technical contact for workplace technology until a dedicated Workplace resource is in place. Over time, your focus shifts to Platform Operations, where you’ll partner with Kubernetes Platform, Reliability Engineering, C

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. About the Team The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables: Streaming analytics Interactive end-user reporting Data and ML platform for Okta to scale Telemetry of our products and data Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever. About the Position This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake. We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infras

P-1324 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Experience with low level systems (OS, network stacks, CPU optimizations). Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70%

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval. LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support. Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions. Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments. Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders. Innovation Leadership: Identify and drive high-impact o

Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security tea