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Job Type

Full Time

Job Description

Machine Learning & Data Science Engineer – AI Infrastructure

Location:

Employment Type:

About Us

We are an early-stage startup at the intersection of AI and media, building the next generation of tools that help creators transform stories into production-ready video and connect with their fans.

The Role

machine learning, data science, and computer science

Responsibilities

  • Design and implement

    end-to-end ML pipelines

    for data gathering, analysis, and insights.
  • Build

    data analysis layers

    for performance tracking and reusable asset creation.
  • Develop

    ranking, scoring, and risk estimation frameworks

    for multimodal outputs.
  • Integrate and benchmark

    LLMs, VLMs, and generative models

    (image, audio, video).
  • Build

    APIs and services

    to support asset reuse and human-in-the-loop workflows.
  • Optimize for

    compute efficiency, caching, and reproducibility

    .

Qualifications

  • Proven experience in evaluating

    large models (LLMs, VLMs, generative models)

    .
  • 4+ years of hands-on

    ML & data science

    experience (statistical analysis, risk modeling, experimental design).
  • Strong

    computer science fundamentals

    (algorithms, distributed systems, APIs).
  • Experience with

    ranking/search systems

    (Elasticsearch, Vespa, vector-based).
  • 4+ years of

    Python & ML frameworks

    (PyTorch, Scikit-Learn).
  • Familiarity with

    AWS, Docker

    .
  • Bonus:

    fine-tuning/training large models

    .
  • Must have:

    Candidates with data science + computer vision, data science + audio analysis, or data science-driven LLM/VLM/image & video generation

    experience are preferred.
  • Add:

    Discard candidates whose CV experience is only YOLO/object detection or similar

    .

Why Join Us?

  • Work with

    cutting-edge multimodal AI models

    .
  • Help shape the

    future of storytelling technology

    .
  • Join a

    fast-growing, mission-driven startup

    .

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