Backend Engineer - Applied Machine Learning Engine (Efficiency Tool)

ByteDance; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A technology company in Singapore is seeking an experienced software developer to join their Applied Machine Learning team. You will research, design, and develop software solutions, ensuring integration with hardware systems. The ideal candidate will have a Bachelor's degree in Computer Science, 3+ years of experience in software development, and proficiency in programming languages like Python or Golang, along with DevOps expertise. Join us to contribute to innovative solutions and work in a collaborative environment.

Benefits

Inclusive work environment

Opportunities for career advancement

Collaboration with a diverse team

Qualifications

• 3+ years of relevant experience in software development.
• Experience designing and maintaining large-scale systems.
• Expertise in programming languages such as Python or Golang.

Responsibilities

• Research, design, and develop software solutions.
• Analyze user needs and develop software improvements.
• Work with engineers to integrate hardware/software systems.

Skills

Distributed systems analysis

Python

Golang

DevOps technologies (Ansible, Terraform, etc.)

Cloud services (AWS, GCP, etc.)

Unix/Linux operating systems

Education

Bachelor’s degree in Computer Science or equivalent

Tools

TensorFlow

PyTorch

MXNet

PaddlePaddle

Job description

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

• Research, design, and develop computer and network software or specialised utility programs.
• Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

About The Team

The Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.

On the team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision‑making.

DevOps ensures that the very centric machine learning services at TikTok have the highest level of availability, as well as creating highly automated systems and pipelines.

Qualifications

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent with 3+ years of relevant experience
• Proven experience in analyzing and troubleshooting distributed systems.
• Prior experience designing and maintaining large‑scale systems.
• Experience programming in at least one of the following languages: Python or Golang.
• Expertise in DevOps technologies like Ansible, Terraform, Salt, Bash Scripting, etc.
• Experience in building solutions with AWS, GCP, Azures, AliCloud or other cloud services.
• Familiar with Unix/Linux operating systems.

Preferred Qualifications

• Ability to thrive in a fast‑paced environment.
• Strong understanding of code optimizing and routine tasks automation.
• Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle.
• Solid background of algorithms and data structures.

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.