Job title: Machine Learning Ops Engineer II
Company: Kraken
Job description: Building the Future of CryptoOur Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.What makes us different?Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.Before you apply, please read the page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account .As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to , , and through our products like , , and .Become a Krakenite and build the future of crypto!Proof of workThe teamKraken is looking for an experienced Machine Learning Ops engineer to join our AI/ML Team in the centralized Data organization. In this role you will be building infrastructure to support building cutting edge AI/ML technology to solve the most complex and exciting problems in the quickly growing and evolving crypto industry. We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to work with engineers across the team and org, exploring different ways to resolve issues.The opportunityBuild ML and AI Ops infrastructure to enable the development and deployment of production models running at scale. This includes deployments across multiple cloud infrastructuresLead resource planning and optimization, especially with GPU instancesDevelop tool(s) to load test various production AL/ML systemsWork closely with SREs across the entire organizationSupport 24/7/365 uptime of services by supporting a partial on-call rotation along with other members of the teamStay up-to-date in machine learning, and artificial intelligence trends and technologies, all while contributing to the growth of AI/ML in the Crypto industrySkills you should HODLExperience in deploying, maintaining, and monitoring production systemsA minimum of 3-5 years of experience in DevOps, SRE, AI/ML Engineer, or a similar disciplineFamiliarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practicesProgramming skills in Python, Scala, Rust or other languagesGood written and verbal communication skills and interpersonal skillsDeep experience with Kubernetes and DockerExperience with AWS, specifically S3, Athena, EMR, Sagemaker, and LambdaExperience with Terraform, MLFlow, Flink, Kafka, MariaDB, and Nomad are all a plusKnowledge of GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plusBachelor’s degree in Computer Science, Machine Learning or related field#LI-Remote #USCANEUBR #LI-GL1This job is accepting ongoing applications and there is no application deadline.Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don’t fully meet the listed requirements, especially if you’re passionate or knowledgable about crypto!As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.Stay in the know
Expected salary:
Location: USA
Job date: Thu, 29 Aug 2024 06:03:39 GMT
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