Senior AI Engineer (Remote)

vidIQ

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Location: United States
Job Type: full-time
Salary: $100,000 - $180,000
Posted: March 15, 2026

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.

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

Job requirements

Requirements

6+ years of professional software engineering experience (preferably in Python)
3+ years of experience developing and delivering ML solutions into production
Product oriented mindset
Hands-on experience building and optimizing end-to-end data and machine learning pipelines, with a focus on LLM-based solutions
Engineering mindset, with a high degree of comfort in designing software and producing production-grade code
Proactive, results-oriented self-starter with a proven ability to drive growth and innovation in dynamic environments.
Ability to work with modern data integration and analytics tools
Experience with AI-dev tools (e.g. GitHub Co-Pilot, Cursor)
Ability to turn ML paper into working code

Nice to have

B.S., M.S. or PhD in Computer Science or related technical field
Developer-level experience with Kubernetes and Docker
Experience with data processing technologies (e.g. Spark, Kafka, Airflow)
Experience working with RDBMS and NoSQL data scores (PostgreSQL, DynamoDB and alike)
Experience in product management

Perks and Benefits

Work Remotely: Embrace the freedom to choose your ideal workspace anywhere in the world.
Flexible Time Off: We support a flexible vacation policy allowing you to take time off when you need to recharge.
Communication Stipend: Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.
Global Impact: Join our diverse team that’s shaping the future of the creator economy across the globe.
Competitive Compensation: vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions. We ensure fairness through internal equity and geo-location based pay, with the upper range reserved for individuals demonstrating exceptional job knowledge and skills.

Our Commitment

At vidIQ, we dedicate ourselves to enabling creators of all kinds to succeed. We prioritize attracting diverse talent and fostering an environment that encourages collaboration, creativity, and personal growth. We are committed to building a company and a community where individuals thrive by being true to themselves and are inspired to do their best work every day.

If you share our enthusiasm for empowering creators, we would love to hear from you. Click the “Apply” button below to start your journey with us.

🎯 Who is this job for?

This role is ideal for a Senior AI/ML Engineer with 6+ years of software engineering experience and strong expertise in Python, machine learning pipelines, and LLM-based systems. It suits someone comfortable building and deploying AI models (NLP, recommender systems, computer vision) into production while designing scalable backend services and data pipelines. You should be able to collaborate across product, data, and frontend teams, translate ML research into working systems, and own end-to-end AI features in a fast-moving product environment.

💬 Potential Interview Questions

How would you design and deploy a scalable machine learning pipeline for AI-powered creator insights?
I would structure the pipeline with clear stages for data ingestion, preprocessing, model training, evaluation, and inference. Using tools like Airflow or Kafka for orchestration and scalable cloud infrastructure ensures reliable and repeatable model deployment.
How do you turn a machine learning research paper into a production-ready system?
I begin by implementing a minimal prototype to validate the algorithm, then optimize it for performance and scalability. The final system includes robust testing, monitoring, and integration with existing data pipelines.
How would you design an LLM-based feature that provides content recommendations for creators?
I would combine embeddings, metadata analysis, and engagement signals to build a recommendation pipeline. The system would incorporate feedback loops and evaluation metrics to continuously improve recommendations.
How do you ensure machine learning models perform reliably in production environments?
I implement monitoring for model performance, latency, and data drift. Automated retraining pipelines and fallback mechanisms ensure stability when model performance changes.
Describe your experience building NLP systems using modern ML frameworks.
I typically use frameworks such as PyTorch or Hugging Face to build and fine-tune models for tasks like text classification, summarization, or semantic search. Efficient training and evaluation pipelines are essential for scaling NLP solutions.
How do you optimize large-scale data processing for machine learning workflows?
I leverage distributed processing tools such as Spark and efficient data pipelines to handle large datasets. Proper data partitioning, caching, and batch processing help maintain performance.
How do you integrate machine learning models into existing backend systems?
I expose models through APIs or microservices and ensure they integrate smoothly with application services. Proper logging, monitoring, and versioning ensure safe model updates.
How do you collaborate with frontend and product teams when developing AI features?
I translate model outputs into clear product features and explain trade-offs between accuracy, latency, and user experience. Collaboration ensures AI capabilities align with real user needs.
How do you use AI development tools to accelerate engineering workflows?
I use tools like AI code assistants for prototyping, code generation, and debugging while maintaining full manual review of outputs. These tools help increase productivity without sacrificing quality.
How do you ensure data quality and integrity in machine learning pipelines?
I implement validation checks, automated data profiling, and monitoring systems to detect anomalies. Maintaining strong data governance practices ensures models are trained on reliable data.

📋 Job Summary

vidIQ is a leading creator-economy platform helping millions of YouTube creators grow their channels with AI-powered insights and tools. We’re hiring a Senior AI Engineer (Remote, Global) to design and deploy production-grade machine learning systems using Python, modern LLM frameworks, and large-scale data pipelines. You’ll build features such as recommender systems, NLP models, and multimodal AI solutions while collaborating across frontend, data, and DevOps teams. This role offers a competitive salary of $100K–$180K, flexible remote work, and the opportunity to shape AI products used by creators worldwide.