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Senior AI Engineer (Remote)

Roles & Responsibilities

  • Strong background in AI/ML engineering with backend development experience and a track record delivering product features
  • Experience designing, training, evaluating ML models and building production-ready pipelines (focus on NLP, recommender systems, computer vision)
  • Proficiency in software engineering with writing well-tested, maintainable code and contributing to code reviews; ability to ship features with ownership
  • Excellent collaboration and communication skills, able to work with cross-functional teams and explain technical concepts to non-technical stakeholders in a fast-paced environment

Requirements:

  • Design, implement, and ship new features with ownership, partnering with Product Managers/Senior Leadership to frame problems and deliver high impact to users
  • Build, train, and test ML/AI solutions (NLP, recommender systems, computer vision) and implement scalable solutions for a global user base
  • Write well-crafted, maintainable code and transform ML models into production pipelines; collaborate with Frontend, DevOps, and Data Engineering to ensure end-to-end integration
  • Participate in code reviews, monitor and troubleshoot existing features, and communicate technical concepts to stakeholders

Job description

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. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of highly driven, 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

  • 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 frequently collaborate with key stakeholders, including senior leadership, articulate technical concepts to non-technical audiences, and lead by example in a FAST-PACED, results-oriented environment.

This is a remote position open to candidates worldwide. Employment classification and engagement structure will be determined based on location, legal requirements, and mutual fit.

What you will do

  • Work closely with Product Managers/Senior Leadership to frame problems within the 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/AI 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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