Applied Machine Learning Engineer

About usAt Intrinsic, we are using disruptive technologies to solve some of our digital age's oldest and most complex problems. We are a team that previously worked on solving Trust and Safety issues for Apple's 1 billion users, and we're on a mission to make the internet a safer and more trusted place for everyone.Our platform, Intrinsic, enables companies to automate their Trust and Safety processes, from observability to enforcement. We are rapidly growing, serving some of the largest and fastest-growing social media and online services platforms.Role DescriptionDesigning and training advanced NLP, Computer Vision, and LLM models for enterprise AI content moderation tasksBuilding human-in-the-loop retraining pipelines of machine learning modelsDesigning machine learning models robust in adversarial settingsDealing with large-scale data using distributed mechanisms and data pipelinesQualificationsMasters degree in Computer Science or equivalent experience in machine learning applicationsExperience building robust data pipelines2+ years of industry experience, at either large or small scale, working on production machine learning systems3+ years software programming experience in 2‐3 of the following: Python, Golang, SQL, Scala, Java, C/C++, etcExperience with running large data processing tasks in cloud environments (eg, AWS, Google Cloud)Good understanding of 2‐3 of stream processing technologies like Spark, Kafka, PubSub, etc.Exposure and understanding to Kubernetes and containerized environmentsExperience working in adversarial systems like fraud or content moderation is a plusWhat we offerHealth care: we offer platinum-level medical, dental, and vision insuranceGenerous PTO, sick leave, and parental leaveUp to $100 in reimbursement for personal health & wellness expenses each month401(k) plan

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