BYTEDANCE PTE. LTD.
Applied Machine Learning Orchestration Graduate (AML) - 2027 Start
Visa Source Listed
📍🇸🇬 Singapore📅12h ago
S$1,35,000—S$2,70,000/ year
≈ ₹84L — ₹1.69Cr per year
Machine LearningOnboardingDistributed Platformsstudent applicationsComputingTraining Course DevelopmentData OrchestrationNatural Language ProcessingSoftware TrainingDirect ResponseComputer VisionContainer OrchestrationCareer ExplorationResource AllocationTeam Organisation
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Job Description
About Us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Job highlights
Positive team atmosphere, Career growth opportunity, Flat organization, Meals provided
Responsibilities
Team Introduction
Data AML is ByteDance’s machine learning platform, providing recommendation/advertising/CV (Computer Vision)/speech/NLP (Natural Language Processing) training and inference systems for Bytedance businesses like Tiktok and Douyin. It empowers business partners with enormous ML computing power and ground-breaking algorithmic innovation. Additionally, it provides core capabilities of machine learning/recommendation systems to external enterprise customers via Volcano Engine/BytePlus.
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
-Distributed Orchestration & Scheduling by providing support on distributed deployment of services/model training and inference tasks)
-Optimize allocation rate and resource operation efficiency globally and coordinate capacity of various heterogeneous resources (CPU/GPU/heterogeneous hardware/training data)
-Participate in development of training-related requirements (incremental training and API for online learning) and enhance framework efficiency
-Participate in offline-to-online synchronization, data consistency, and model-update timeliness optimization and handle traffic scheduling for heterogeneous resources
Qualifications
Minimum Qualifications:
-Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
-Proficient in at least one programming language (Go/Python preferred) in Linux; good programming habits and coding skills
-Familiar with distributed system principles and open-source distributed scheduling frameworks
-Strong sense of responsibility; good learning, communication skills, and self-motivated; quick to respond and act.
Preferred Qualifications:
-Experience in machine learning system practice
-Experience in open-source ML orchestration frameworks (e.g. Ray/TFX/Kubeflow)