Location:
Quezon City, National Capital Region
Contract Type:
Full Time
Experience Required:
2 years
Education Level:
Master’s Degree
Salary:
60.000,00 ₱ /
Monthly
Job Description
Commitment: Full-Time, 2 Years
Monthly Support Stipend: ₱60,000 – ₱95,000
Program Overview:
ASG Platform is now accepting applicants for its 2-Year Applied Mathematics + AI Residency Program — a full-time, remote training track designed for individuals with strong mathematical and analytical backgrounds who aspire to become elite AI developers.
This is not a job. It’s a structured, merit-based program that provides hands-on AI training, mathematical problem-solving challenges, mentorship from senior engineers, and a pathway into advanced AI development roles.
Key Responsibilities:
Build and train real AI models from the ground up
Solve applied problems in data, probability, and optimization
Learn and apply tools such as TensorFlow, PyTorch, NumPy (training provided)
Work collaboratively with mentors and experienced engineers
Eligibility Requirements:
Applicants should meet the following criteria:
Master’s or PhD in Mathematics, Computer Science, Data Science, or Machine Learning
Strong foundation in algorithms, clustering, classification, and time series analysis
Proficiency in Python, PyTorch, TensorFlow, C++, and backend frameworks (FastAPI, Django, or Flask)
Bonus qualifications: GitHub projects, Kaggle participation, academic ML research
What You’ll Receive:
Monthly training stipend of ₱60,000–₱95,000
Additional ₱1,000/month allowance for food or learning resources
Monthly internet support
HMO and paid leave benefits (after 1 year in the program)
Additional performance-based incentives for top contributors
Note: This is a support stipend, not a salary. It is provided to allow full-time focus on learning and building during the 2-year residency.
Monthly Support Stipend: ₱60,000 – ₱95,000
Program Overview:
ASG Platform is now accepting applicants for its 2-Year Applied Mathematics + AI Residency Program — a full-time, remote training track designed for individuals with strong mathematical and analytical backgrounds who aspire to become elite AI developers.
This is not a job. It’s a structured, merit-based program that provides hands-on AI training, mathematical problem-solving challenges, mentorship from senior engineers, and a pathway into advanced AI development roles.
Key Responsibilities:
Build and train real AI models from the ground up
Solve applied problems in data, probability, and optimization
Learn and apply tools such as TensorFlow, PyTorch, NumPy (training provided)
Work collaboratively with mentors and experienced engineers
Eligibility Requirements:
Applicants should meet the following criteria:
Master’s or PhD in Mathematics, Computer Science, Data Science, or Machine Learning
Strong foundation in algorithms, clustering, classification, and time series analysis
Proficiency in Python, PyTorch, TensorFlow, C++, and backend frameworks (FastAPI, Django, or Flask)
Bonus qualifications: GitHub projects, Kaggle participation, academic ML research
What You’ll Receive:
Monthly training stipend of ₱60,000–₱95,000
Additional ₱1,000/month allowance for food or learning resources
Monthly internet support
HMO and paid leave benefits (after 1 year in the program)
Additional performance-based incentives for top contributors
Note: This is a support stipend, not a salary. It is provided to allow full-time focus on learning and building during the 2-year residency.
Number of vacancies:
100
Company Description
At ASG, we specialize in developing some of the most advanced AI-based applications for some of the largest and most well-known companies in the world, including Coca-Cola, Home Depot, Aetna Healthcare, and dozens of others. Our cutting-edge projects require exceptional programming skills, and we are committed to helping our team reach new heights.
We believe in nurturing talent and offer a unique two-year residency program designed to transform promising candidates into the top 1% of developers globally. Our program provides extensive training and hands-on experience, equipping our team with the expertise needed to excel in the most challenging and rewarding projects.
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