Senior AI Machine Learning Engineer
Remote
Full Time
#Engineering
#AI
#Machine Learning
#Python
#Language
#Recommender Systems
#Computer Vision
#Kubernetes
#Docker
#Spark
#Kafka
#Airflow
At vidIQ, we are on a mission to empower YouTube creators through data-driven insights and cutting-edge AI tools. We have already supported millions of creators, and we are looking for a talented engineer to help us scale our platform to reach millions more. If you are passionate about the creator economy and want to build products that help people grow their own brands, you will fit right in with our creator-obsessed, fast-moving team.
Role at a glance
We are seeking a Senior AI Machine Learning Engineer to join our team on a full-time, remote basis. This is a senior-level position open to candidates located anywhere in the world who are ready to take ownership of our AI initiatives and drive product innovation.
Your impact
- Design, train, and deploy advanced machine learning solutions, with a specific focus on recommender systems, computer vision, and natural language processing.
- Collaborate directly with product managers and leadership to translate business goals into scalable, high-impact technical features.
- Write clean, maintainable, and production-ready code to transform complex ML models into reliable pipelines that serve our global user base.
What you'll need
- At least 6 years of professional software engineering experience, with a strong preference for Python expertise.
- A minimum of 3 years of hands-on experience successfully delivering machine learning solutions into production environments.
- Proven ability to bridge the gap between academic research and functional, production-grade code.
- Experience working with data processing tools like Spark, Kafka, and Airflow.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Excellent communication skills in English and a proactive, ownership-driven mindset.
Perks and compensation
- Remote work: Enjoy the flexibility to work from anywhere in the world.
- Flexible hours: We prioritize results and support a healthy work-life balance.
- Paid time off: Take the time you need to recharge and stay energized.
