AI Engineer

AICines Inc

South Jakarta, Indonesia
31, Cartier Dr, South Jakarta, DKI Jakarta, Indonesia
South Jakarta
DKI Jakarta
Indonesia
Indonesia
TELECOMMUTE
Penuh waktuFULL_TIME
Jarak Jauh

Lowongan dipasang an hour ago dan batas waktu lamaran adalah 20 Oct

Rekruter terakhir aktif a day ago

2026-08-24T01:53:03.332788+00:002026-10-20T18:30:00+00:00

Deskripsi Pekerjaan

AICines builds the generation, rendering, and delivery systems that turn a prompt into a finished film. We're looking for an AI Engineer intern to work on the models powering our AI video pipeline.

1. Fine-tune and evaluate generative video/image models for production use

2. Build and maintain data pipelines for model training and evaluation

3. Support deployment and monitoring of ML models in production

4. Work with the engineering team to integrate models into the live product

Kualifikasi Minimum

0-1 year of experience. Solid Python programming skills are required, along with familiarity with machine learning and deep learning fundamentals. Exposure to generative video or image models is a strong plus. A genuine interest in applied AI research and production-grade model deployment is important for this role.

Fasilitas dan Tunjangan

Work from Home

Ringkasan Perkerjaan

Tingkat Posisi: Magang / OJT

Spesialisasi: IT and Software

Persyaratan tingkat pendidikan: Lulus program Sarjana (S1)

Alamat Kantor: 31 Cartier Dr

Industri: Information Technology / IT

Lowongan: 3 lowongan dibuka

Situs: https://www.instagram.com/aicines.ai/

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Tentang AICines Inc

AICines is four products in one: a streaming platform, an AI-powered social creation app, an AI creative studio where anyone can generate finished video from a prompt, and a film production house working with Hollywood studios on original content. We build the generation, rendering and delivery systems that turn a prompt into a finished film. The problems are hard, the surface area is large, and the work ships to creators directly. Our team is fully remote and globally distributed. We hire across engineering, AI/ML, data, marketing, customer support, and operations — and we work with people at every stage, from students and recent graduates through to senior specialists. Progression here is based on impact rather than tenure.

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