Remote ML Engineer: Scalable Production Models + Equity

Melotech

New York (NY)

Remoto

USD 120.000 - 180.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Melotech is transforming media with production ML engineered for scale and low latency. You will own end-to-end model deployment, build scalable pipelines, and deploy multimodal AI while collaborating with data science to turn research into production.

As one of the first engineers, you’ll influence architecture, align with cost and speed targets, and work remotely with an ambitious team including our founder. Equity is offered, and flexible global coordination fosters innovation.

Competenze

  • 3+ years of hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms.
  • Expert-level proficiency in Python, ML frameworks, and cloud platforms.
  • Extensive experience with MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems.
  • Proven track record deploying and scaling ML models in production environments with high availability requirements.

Mansioni

  • Building and deploying production ML models for within our content and product ecosystem.
  • Designing scalable ML infrastructure and pipelines that handle massive media datasets.
  • Implementing inference systems for content optimization across multiple verticals.
  • Fine-tuning and deploying multimodal AI systems using MLOps best practices.
  • Collaborating with data science teams to transition research models into production-ready systems.
  • Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements.
  • Integrating ML capabilities into existing platforms and building APIs for seamless model consumption.

Conoscenze

Python
ML frameworks
Cloud platforms
MLOps practices
Production ML systems
Architect scalable systems
Team collaboration

Formazione

Bachelor's degree in Computer Science / Mathematics / related field

Strumenti

Docker
Kubernetes

Descrizione del lavoro

Melotech is transforming media with production ML engineered for scale and low latency. You will own end-to-end model deployment, build scalable pipelines, and deploy multimodal AI while collaborating with data science to turn research into production.

As one of the first engineers, you’ll influence architecture, align with cost and speed targets, and work remotely with an ambitious team including our founder. Equity is offered, and flexible global coordination fosters innovation.

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