Senior ML Engineer, Applied Systems & Recommendations

ByteDance; San Jose (CA); On-site; USD 218,000 - 480,000; Full time

Job summary

ByteDance is seeking engineers to design and develop software for massively distributed recommendation systems, working across system engineering and ML tasks. You will analyze user needs, implement robust software, and collaborate with hardware teams on capacity planning.

The role emphasizes coding proficiency, system performance, and the ability to operate within a large tech stack and distributed environments. Join a team focused on scalable solutions and innovation.

Qualifications

• Proficient in at least one of Python/Golang/C++, with solid coding skills.
• Proficient in using common storage and middleware systems such as MySQL, Redis, and MQ, with basic troubleshooting and performance tuning capabilities.
• Familiar with Python frameworks and libraries such as Flask, Celery, Django, Tornado, NumPy; or familiar with common Go open-source frameworks such as Beego, Gin, Gorm, Sarama, and gRPC-Go.
• Understand and have experience with common time-series/data components such as OpenTSDB, Prometheus, InfluxDB, and OLAP databases like ClickHouse.
• Strong sense of responsibility, good learning ability, communication skills, and self-motivation, with solid team collaboration.
• Good documentation habits, able to write and update workflow and technical documents in a timely manner as required.

Responsibilities

• 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.
• Research, design, and develop computer and network software or specialised utility programs.
• Analyze 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.

Skills

Python

Golang

C++

NumPy

Flask

Django

OpenTSDB

Prometheus

InfluxDB

ClickHouse

Team collaboration

Documentation

Tools

MySQL

Redis

MQ

Beego

Gin

Gorm

Sarama

gRPC-Go

OpenTSDB

Prometheus

InfluxDB

ClickHouse

Job description

ByteDance is seeking engineers to design and develop software for massively distributed recommendation systems, working across system engineering and ML tasks. You will analyze user needs, implement robust software, and collaborate with hardware teams on capacity planning.

The role emphasizes coding proficiency, system performance, and the ability to operate within a large tech stack and distributed environments. Join a team focused on scalable solutions and innovation.