TL;DR
Ai/Ml Engineer (AI): Building and deploying scalable machine learning systems and infrastructure for a media content platform with an accent on low latency, real-time cultural trend analysis, and multimodal AI. Focus on designing scalable ML pipelines, optimizing model performance, and integrating AI capabilities into production environments.
Location: Remote with offices in Berlin, New York, London
Company
hirify.global is a startup revolutionizing media and entertainment by creating art through technology, backed by top VCs and world-class investors.
What you will do
- Build and deploy production ML models within the content and product ecosystem
- Design scalable ML infrastructure and pipelines for massive media datasets
- Implement inference systems for content optimization across multiple verticals
- Fine-tune and deploy multimodal AI systems using MLOps best practices
- Collaborate with data science teams to transition research models into production-ready systems
- Optimize model performance for cost efficiency while maintaining accuracy and speed
- Integrate ML capabilities into existing platforms and build APIs for model consumption
Requirements
- Location: Remote work with presence in Berlin, New York, or London preferred
- 3+ years of ML engineering experience building production systems
- Expertise in Python, ML frameworks, and cloud platforms
- Experience with MLOps tools including Docker, Kubernetes, model versioning, and monitoring
- Ability to architect complex ML systems independently and collaborate across teams
- Passion for media, music, video, or social media
Culture & Benefits
- Early employee with significant impact and leadership opportunities
- Competitive salary and equity ownership
- Fully remote work with global offsites for team bonding and strategy
- Flat hierarchies and respect for individual contributions
Hiring process
- Take-home case study to showcase skills
- 90-minute case interview discussion
- Online motivational and aptitude assessments
- 90-minute interview with the CEO
- Team interview(s)
- Offer, contract signing, and onboarding
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