Machine Learning Engineer ( Intern, Jr, Grads ) (Start ASAP)

Uc Bcf; Philippines; Remote; PHP 670,000 - 1,228,000; Full time

Job summary

AICines is seeking a Machine Learning Engineer to fine-tune and deploy generative video and image models. You will join a remote-first team, ship production-grade models, and contribute to scalable generation pipelines with direct collaboration with founders and senior engineers.

This role is ideal for students or recent graduates in CS/ML, with Python proficiency and a strong foundation in ML concepts. No prior professional experience required, and interns may be considered for full-time roles.

Qualifications

• Currently studying or recently graduated in Computer Science, Machine Learning, or a related field.
• Experience with generative models is a plus.
• Comfortable working in a fast-moving, remote-first team.

Responsibilities

• Fine-tune and ship generative video/image models into production.
• Build the infrastructure that makes generation pipelines run at scale.
• Work on prompt systems and character consistency.

Skills

Python

ML fundamentals

Generative models

Communication

Education

CS/ML related field (student or recent grad)

Job description

Your role

As a Machine Learning Engineer at AICines, you'll fine-tune and ship the generative models behind AICines' AI video and image pipeline — real production models, not just notebooks.

Day to day, you'll:

Fine-tune and ship generative video/image models into production
Build the infrastructure that makes generation pipelines run at scale
Work on prompt systems and character consistency
Fix real model and pipeline issues as the platform grows
Collaborate directly with founders and senior engineers on production systems

Training, development & rotations

You’ll be paired with senior team members from week one and work directly on live problems rather than sandboxed exercises. Because AICines spans streaming, social product, AI generation, and film production, there's genuine scope to explore adjacent areas — model infrastructure, prompt systems, or generation pipeline architecture — based on where your interest develops.

Salary & benefits

Compensation is benchmarked competitively for remote roles and varies by experience level. The role is fully remote with flexible working hours. You’ll get hands‑on exposure to production AI systems and a live platform with real users, plus direct access to founders and senior engineers.

Career progression

AICines is scaling, and progression is based on impact rather than tenure. Strong performers move into specialised ML engineering tracks or broader AI leadership roles as the team grows. Interns who perform well are considered for full‑time positions.

Who we're looking for

• Currently studying or recently graduated in Computer Science, Machine Learning, or a related field
• Working knowledge of Python and ML fundamentals; experience with generative models a plus
• Comfortable working in a fast-moving, remote‑first team
• Curious, self‑directed, and able to communicate technical decisions clearly
• No prior professional experience required — students, recent graduates, and junior candidates are all encouraged to apply