Intrinsic
Connect your Trust & Safety team with world-class tooling
Applied Machine Learning Engineer
About the role
About Us
At 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. If you're passionate about building technology to combat online abuse and want to work on complex problems, check out our open roles!
Role Description
- Designing and training advanced NLP, Computer Vision, and LLM models for enterprise AI content moderation tasks
- Building human-in-the-loop retraining pipelines of data across different modalities (video, images, and audio).
- Designing machine learning models to be robust in adversarial settings
- Dealing with large-scale data using distributed mechanisms and data pipelines
Qualifications
- Masters degree in Computer Science or equivalent experience in machine learning applications
- Experience building robust data pipelines
- 2+ years of industry experience, at either large or small scale, working on production machine learning systems
- 3+ years software programming experience in 2‐3 of the following: Python, Golang, SQL, Scala, Java, C/C++, etc
- Experience 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 environments
- Experience working in adversarial systems like fraud or content moderation is a plus
What we offer
- Health care: we offer platinum-level medical, dental, and vision insurance
- Generous PTO, sick leave, and parental leave
- Up to $100 in reimbursement for personal health & wellness expenses each month
- 401(k) plan
What you'll be working on
- Designing and training advanced NLP, Computer Vision, and LLM models for enterprise AI content moderation tasks
- Building human-in-the-loop retraining pipelines of machine learning models
- Designing machine learning models robust in adversarial settings
- Dealing with large-scale data using distributed mechanisms and data pipelines
Requirements
- Masters degree in Computer Science or equivalent experience in machine learning applications
- Experience building robust data pipelines
- 2+ years of industry experience, at either large or small scale, working on production machine learning systems
- 3+ years software programming experience in 2‐3 of the following: Python, Golang, SQL, Scala, Java, C/C++, etc
- Experience 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 environments
- Experience working in adversarial systems like fraud or content moderation is a plus
What we offer
- Health care: we offer platinum-level medical, dental, and vision insurance
- Generous PTO, sick leave, and parental leave
- Up to $100 in reimbursement for personal health & wellness expenses each month
- 401(k) plan
About Intrinsic
At Intrinsic, we are using disruptive technologies to solve some of the oldest and most complex problems of our digital age in anti-abuse, fraud prevention, and brand safety. Online abuse is an elaborate video game of cat-and-mouse. We move fast, and so do our adversaries.
