Senior Algorithm Engineer

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis . As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performance You are excited to work on

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Please note this is a hybrid 12 month fixed-term contract position from our Paris office. Please submit your CV in English. The Community You Will Join The Global Markets Strategic Finance & Analytics team provides budget oversight, reporting, strategic planning and analytical decision making support to the Global Markets team and in-region business teams across EMEA. In addition this team supports identifying and pursuing opportunities to drive growth and business impact for our international business. The Difference You Will Make While your formal reporting structure is into the Director, Strategic Finance & Analytics, EMEA, on a day-to-day basis you will work closely with the cross-functional team that is based in-region. You will directly support Country Managers (and their teams) based around EMEA to drive clear reporting, produce actionable insight, track core KPIs, evaluate investment decisions and work cross-functionally to develop strategies to solve problems. The individual is expected to be a strong cross-functional business partner who has a combination of hands-on analytical skills, financial modelling expertise, commercial acumen, and the ability to package their insights into strong narratives appropriate for senior executive consumption. They will be comfortable working in cross functional teams based in EMEA and around the world including Finance & Accounting, Business Operations, Data Science, Marketing, Product and Supply. The ideal candidate relishes the opportunity to roll up their sleeves to drive meaningful impact, possess strong stakeholder management skills, and is a s

About the Team OpenAI’s Legal team supports OpenAI’s mission by addressing complex legal issues arising from the development and deployment of AI. The team brings together expertise in commercial, corporate, employment, privacy, intellectual property, regulatory, tax and litigation matters, and works closely with teams across the company. About the Role We’re seeking an experienced, hands-on lawyer to serve as our country lawyer for France, providing broad legal support for our local office with a primary focus on regulatory and policy legal matters affecting OpenAI’s products, operations and business. You will advise on French and EU regulatory developments, develop practical legal positions and recommendations, and support OpenAI’s engagement with French regulators and policymakers. Working closely with EMEA and global legal colleagues, as well as policy and regulatory affairs teams, you will take ownership of assigned French matters, translate complex legal questions into actionable advice and help ensure that our approach in France is consistent with OpenAI’s wider legal positions. Alongside your primary focus, you will also provide broader French country legal support, coordinating with specialist teams on local business and operational matters. We’re looking for someone who can take responsibility for matters, give practical advice, manage competing priorities and bring cross-functional work to a decision. You will work closely with EMEA and global legal colleagues, GA and Policy leaders, applying established specialist guidance, approval processes and escalation routes. In this role, you will: Advise on regulatory developments and their business implications. Assess existing and emerging French and EU laws, enforcement developments and policy proposals affecting OpenAI. Develop legal positions and practical recommendations, working with GA, Policy, Regulatory, Product, Privacy and other legal teams to translate requirements into action. Serve as a trusted leg

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re hiring a Senior Solutions Engineer to build Synthesia’s presales function in France and Southern EMEA. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across France and Southern EMEA. If you’re someone who is excited and driven by building whilst scaling, we’d love to hear from you. Sales Cycle Ownership Coplan and execute discovery calls to understand customer requirements, their technical environment, and current business challenges. Design and deliver compelling demonstrations that solve customer problems, quantify the value of solving those problems, and tell a clear, credible story of how Synthesia solves them better than anyth

The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts Build mission-critical solutions that customers depend on daily Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: You have 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You are proficient in Go You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational q

Datadog’s Chaos Engineering team builds systems that surface reliability weaknesses before they become outages. As a Senior Software Engineer, you will initially focus on zonal resilience, building automation that helps services safely evacuate and recover from zonal failures, while also contributing to fault injection, incident replay, gameday orchestration, and reliability tooling. You will work across engineering teams to design systems that safely exercise production failure modes and turn findings into verified remediation. You will also help advance the use of AI and automation to identify, test, and close resilience gaps as Datadog’s software and infrastructure evolve. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build zonal-resilience automation that coordinates safe workload evacuations, switchovers, and recovery in partnership with the teams that own affected services. Design and build fault-injection systems for production environments, including infrastructure- and application-level testing, incident replay, and controlled resilience experiments. Develop safeguards such as blast-radius controls, kill switches, validation mechanisms, and rollback paths that keep production experiments contained and reversible. Build agents and automation that help propose failure scenarios, triage experiment results, and connect reliability findings to tracked remediation and verification. Lead gamedays from hypothesis and scenario design through execution, documented findings, remediation tracking, and validation of completed fixes. Design and implement reliable distributed systems, including gRPC services, Kubernetes controllers, and shared platform components, while contributing to technical design and mentoring other engineers. Who You Are: You have str