ML Engineer

Work format: Remote (preferred Dubai / EU time zones)
Company location: Dubai, UAE / San Francisco, US
Salary: $50,000–60,000 gross + equity/token options + paid vacation

We are looking for a Machine Learning Engineer with strong experience in building, deploying, and scaling multimodal ML systems across audio, video, text, and images. The role focuses on designing ML models, production pipelines, and data ingestion at petabyte scale — ensuring reliability, performance, and real-world impact of decentralized data network.

Our main tech stack:

• Python (FastAPI), ML frameworks (classification, clustering, detection, time-series), ETN/ETL pipelines, JavaScript/TypeScript (for cross-stack collaboration), large-scale data infrastructure.

Responsibilities:

• Design, train, and optimize ML models on multimodal datasets (audio, video, text, images)

• Build and maintain scalable ETN/ETL pipelines for ingestion and processing of petabyte-scale data

• Develop and maintain FastAPI microservices for serving ML models in production

• Work closely with senior Data Scientist on model validation, experimentation, and innovation

• Collaborate with engineers and DevOps to ensure scalability and high availability of services

• Explore and adopt new algorithms, multimodal techniques, and best-in-class open-source tools

• Occasionally take full ownership of client-facing ML projects — from design through delivery

Requirements:

• 3+ years of professional experience as a Machine Learning Engineer or Data Scientist

• Hands-on ML experience across audio, video, transcription, NLP, and images

• Strong Python programming skills (FastAPI, backend integration)

• Proven ability to design and maintain large-scale data pipelines (ETN/ETL)

• Familiarity with JavaScript/TypeScript or openness to learn for cross-team collaboration

• Strong data-driven mindset, curiosity, and ability to own projects end-to-end

• English — confident working proficiency (B2+)What we offer:

• Paid vacation and sick leave

• Direct mentorship from experienced Data Scientists

• Opportunity to work on cutting-edge multimodal ML at petabyte scale

• High-ownership environment — your models ship fast and impact real users

• Budget and time for continuous learning (courses, conferences, hardware experiments)

• Access to vibrant offices in Dubai and San Francisco if you prefer on-site