V Kolibri Labs širimo engineering ekipo in iščemo Senior Machine Learning / AI Engineerja/-ko, ki bo skupaj z nami gradil/-a AI-native platformo za znanstveno delo, peer review in objavljanje raziskav. Platformo razvijamo v tesnem partnerstvu z mednarodno akademsko organizacijo iz ZDA, ki produkt skupaj z nami aktivno soustvarja. Tvoj fokus bo core AI stack in vprašanje, kako AI sisteme narediti dejansko uporabne, merljive in boljše. Delal/-a boš na: Iščemo nekoga, ki: - zelo dobro razume moderne LLM sisteme in njihove omejitve, - dobro razume statistiko in eksperimentalno metodologijo, - zna zasnovati kakovostne evale, benchmarke in eksperimente, - zna rezultate kritično interpretirati in ločiti signal od šuma, - zna modele in eksperimente spraviti iz notebooka v produkcijsko okolje, - hitro preverja nove ideje in se ne naveže prehitro na en pristop, - aktivno spremlja nove modele, papers, GitHub projekte, agent frameworke in eval pristope, - ima svoje mnenje o tem, kaj v trenutnem AI svetu dejansko deluje in kaj ne, - se zelo dobro pisno in ustno izraža, - je pripravljen/-a svoje rezultate tudi javno predstaviti oziroma objaviti. Ne iščemo nujno akademika. Pomembneje nam je, da razumeš raziskovalni način razmišljanja, znaš postavljati dobre hipoteze in jih preverjati z eksperimenti. Poznavanje raziskovalnega oziroma akademskega procesa od znotraj je velik plus. PhD ni pogoj. - delo na zahtevnih problemih na presečišču LLM-jev, agentov in znanstvenega dela, - dostop do velike količine kakovostnih podatkov s tega področja, - veliko svobode pri načrtovanju eksperimentov in raziskovalnih smeri, - možnost razvoja in javne objave benchmarkov in rezultatov, - neposreden vpliv na core AI stack produkta, - možnost dela tako na raziskovalnih kot produkcijskih problemih, - sodelovanje z ekipo v Sloveniji in partnerjem v ZDA, - okolje, kjer se pričakuje hitro eksperimentiranje in argumentirano tehnično razpravo, - remote-friendly način dela, 5.500 - 8.000 € bruto/mesec + performance bonus. Trenutno nas je okoli 10 v Sloveniji, tesno pa sodelujemo tudi z ekipo našega partnerja v ZDA. Pošlji nam LinkedIn, GitHub, CV oziroma karkoli, kar najbolje pokaže tvoje delo, na: [email protected] Ob prijavi nam na kratko odgovori še na vprašanji: Kaj je trenutno v LLM/agent svetu najbolj precenjeno in kaj najbolj podcenjeno? Kako bi preveril/-a, ali AI reviewer dejansko izboljšuje kakovost peer reviewa?
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We are looking for a Cloud Engineer to join a team of talented engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. Join a highly experienced team who builds quality and responsible advertising, at scale! Our main Engineering challenges at Teads Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others. Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies. A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge. Our Infrastructure Team Running on public cloud providers (AWS, Azure, GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally. What will you do? As part of the Cloud Foundation team, you'll be the master architect of our core infrastructure, with a primary focus on global networking and automated provisioning. You'll bridge the gap between our public clouds (AWS, GCP) and on-premise data centers by building the high-performance connectivity and "Infrastructure as Code" pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. You'll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, you'll help us evolve a rock-solid foundation that scales as fast as our ambitions. Your skills and experience: BS in Software Engineering (or extensive experience equivalent to). Good programming abilities. Responsible and proficient adopter of AI tools. Extensive experience building and running workloads in public clouds (AWS, GCP, or both) Strong working knowledge of and experience in IaC technologies, like Terraform. Strong commitment to quality designs, automation, and documentation. Pride in ownership, initiative and collaboration. Eager to learn, discover and become proficient in new tools and languages. Effective communicator; you love to solve problems and are creative in your work. You embrace change and are enthusiastic to learn in order to bring projects to proper completion. Bonus points: Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions. Past experience in advertising technology or e-commerce. Career Development: Continuous investment in our employees' skills: in-house and external training, internal mobility … Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, 15 days per year of work from anywhere, hybrid work (3 days per week in the office) Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. https://job-boards.eu.greenhouse.io/teads1/jobs/4924453101
Objavljeno pred: 3 mesece