About vidIQ
vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.
Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.
Discover more about vidIQ firsthand at www.vidiq.com.
About the Team
We're a team of 100+ people and growing quickly. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of smart, passionate people can share ideas with each other and do their best work. We are looking for team members who are excellent at their craft, communicate with kindness, and act like owners.
An overview of our technology stack
Frontend: Typescript, React.js, Next.js
Backend: Scala/Python/Node.js
Infrastructure & CI/CD: Kubernetes, Docker, GitHub, ArgoCD
Cloud: AWS, GCP, Azure
Databases: PostgreSQL, MongoDB, DynamoDB, OpenSearch
Data processing: Python, Spark, Kafka, Airflow, Pandas, Numpy
ML libraries: PyTorch, Hugging Face, sci-kit-learn, Tensorflow, Keras
ML algorithms: multi-modal LLMs, Diffusion Models, Recommender Systems, ANN
About the Role
We are looking for a highly-motivated AI / Machine Learning Engineer, with a background in backend development. In this role, you'll work closely with a cross-functional team to drive product innovation and deliver high-impact results. The ideal candidate will have robust engineering experience, a proactive mindset, and a proven track record in product development. You will be expected to collaborate with key stakeholders, articulate technical concepts to non-technical audiences, and lead by example in a fast-paced, results-oriented environment.
What you will be doing
Work closely with Product Managers to frame problems within business context and deliver the highest impact to our users
Design, implement and ship new features with a high level of responsibility and ownership
Implement scalable solutions to consistently serve a vast global user base
Help establish architecture based on technology and our needs
Build, train and test Machine learning solutions focusing on natural language processing, recommender systems, computer vision
Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines
Collaborate closely with Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components
Participate in code-reviews to ensure code quality and distribute knowledge
Monitor and troubleshoot existing features and resolve any issues that arise
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