Senior/Staff Unity Engineer

Ledger

We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You’ll join the Security Operations team, responsible for protecting Ledger’s corporate, cloud, SaaS, and data center environments. Its mission: to anticipate, detect, investigate, and respond to cyber threats—including monitoring, alert triage, incident response, detection, visibility, automation, exposure tracking, and continuous process improvement. The scope is distinct from that of the Donjon (product security): SecOps covers the operational security of internal environments, the cloud, endpoints, workloads, identities, and infrastructure. As a close-knit and experienced team—technically demanding and committed to knowledge sharing—we’re also continuously building the SOC itself: integrating new log sources, ensuring data quality, expanding detection coverage, and developing reliable dashboards and operational workflows. Our technical stack includes: * Splunk for SIEM, investigations, and dashboards; * CrowdStrike for EDR and endpoint/workload security; * Wiz for cloud security and exposure management; * Torq for SOAR and automation; * AWS, including modern environments such as EKS/Kubernetes; * An in-house developed Agentic SOC for alert enrichment, correlation, investigation support, reporting, and automation. AI is at the heart of how we work: investing in AI applied to security is a strategic priority for Ledger this year. We’ve built our own in-house Agentic SOC, which autonomously investigates weak signals—the large volume of unreliable alerts that a human team couldn’t sort through manually—and enriches them, so our engineers can focus on what matters most and resolve incidents faster: high-quality detection, noise reduction, and accelerated investigations. What you’ll be doing: As a Staff Security Operations Engineer, you're one of the most senior technical voices on the team: a hands-on generalist who can dig deep into any layer of our stack, step back to see the whole picture, and bring clear, calm judgment when the stakes are highest. Anchor critical-incident response (CSIRT) * Bring senior technical leadership to our most complex incidents — cloud, corporate, endpoints, identities, data center — working with the team, not in isolation. * Lead complex investigations end to end, alongside the team: root cause analysis, forensics, timeline reconstruction, and remediation that prevents recurrence. * Be a trusted escalation point, and keep our handling, escalation, and documentation rigorous and consistent. Set the direction on detection & threat hunting * Set the direction of our detection strategy, architecture, and methodology — with the team — and bring a clear point of view on where to invest next. * Contribute to proactive threat hunting — turning CTI and OSINT into risks caught before they reach Ledger. * Take on our thorniest detection problems and translate threat intel into concrete posture improvements. Evolve the architecture & the Agentic SOC * Drive how our Splunk and Torq (SOAR) setup evolves so detection, triage, and response keep getting better — focused on detection quality, data standardization (CIM, data models), and usability, not day-to-day platform administration. * Contribute to the architecture of our Agentic SOC and log/data pipeline, and help automate the team's reporting. (No need to arrive as a software/data engineer — an engineering mindset and the drive to build matter more.) * Bring cloud-security judgment (AWS, EKS/Kubernetes) and use Wiz to prioritize exposure at scale. Raise the bar across the team * Define the standards, playbooks, and runbooks the team relies on. * Grow senior and junior engineers through review, pairing, and everyday knowledge sharing — a force multiplier through influence and example, not formal management. * Partner with Engineering, Infrastructure, IT, and Cloud to align operational security with where Ledger is heading. What we’re looking for: * ~9 years (or a track record that speaks for itself) in security operations, incident response, and CSIRT, with real depth in complex, end-to-end investigations. * The ability to lead technically under pressure and stay structured when things are ambiguous. * Hands-on SIEM experience (ideally Splunk): writing and refining queries for investigation and detection. * Solid cloud-security fundamentals (ideally AWS): IAM/identity, audit logs (CloudTrail, GuardDuty), and a working understanding of workloads, containers, and Kubernetes (EKS) — enough to scope and investigate a cloud or container incident, and go deeper as needed. * Comfort automating with Python, Bash, APIs, GitHub Actions, or a SOAR platform. * Clear communication of complex topics, strong documentation habits, and sound judgment with sensitive information.

Alice & Bob

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems. The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!   We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together! About the role: As a Senior Staff Engineer, you will own the architecture and evolution of the software infrastructure that enables our quantum processors to operate reliably, scalably, and autonomously. You will design the foundations for error-correction frameworks and quantum compilation stack, data flows, storage systems, orchestration layers, and automation pipelines that turn a raw quantum chip into a usable, production-grade QPU product deployable in HPC, on-prem structures, and cloud environments. This role is at the intersection of deep system design, data engineering, and quantum control infrastructure. You will work closely with low-level hardware/software teams, quantum theorists, data engineers, and operations teams to shape the architecture that supports the next generation of scalable, error-corrected quantum computing.  

Doctolib

WHAT YOU’LL DO We are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This role combines deep R&D with strategic technical leadership, shaping how Doctolib deploys AI in regulated healthcare environments. Your responsibilities include but are not limited to: Technical Strategy & Architecture * Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns * Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs * Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows End-to-End ML Delivery * Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations) * Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards * Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability * Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction Leadership & Impact * Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization * Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams * Translate clinical needs into research questions and production systems that measurably improve patient outcomes * Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards.   WHO YOU ARE Before you read on,  if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. * You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives * You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) * You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning * You are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP) * You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: * Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues * Experience with EU healthcare regulations (GDPR, MDR, AI Act) * Prior work with clinical data or healthcare applications WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training THE INTERVIEW PROCESS * HR Screen * Hiring Manager Interview * Behavioral Interview * Technical Questions  * Technical Case Study * At least one reference check   JOB DETAILS * Permanent position * Full-time * Hybrid work mode (3 days/week in the office) * Paris, France * Start date: as soon as possible   If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.   * *