Responsibilities Team Introduction 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. In 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. You ensure that the very centric machine learning services at ByteDance have the highest level of availability, as well as creating highly automated systems and pipelines. 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. 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. In 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 capacity decision-making. You ensure that the very centric machine learning services at Bytedance have the highest level of availability, as well as creating highly automated systems and pipelines. Responsibilities Responsible for building and evolving Lagrange - the central console platform that supportsAl-related engineering workflows across the organization Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Work on problems with real technical depth and long-term impact: platform architecture, engineering productivity, system scalability, operational intelligence, and the practical integration of Al into engineering and operations workflows. Create the infrastructure and platform capabilities that make large-scale Al development more efficient, reliable, and intelligent 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 of Python/Golang/C++, with solid coding skills and good coding practices. 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. Preferred Qualifications Experience in upper-layer business systems such as search systems or recommendation systems (development or operations) is a plus. Experience with the React framework and its ecosystem; familiarity with visualization stacks such as ECharts, AntV, and D3.js is preferred. Hands-on experience with AI Agent development is preferred. Familiarity with cloud computing concepts, including virtual machines and containers; a solid understanding of networking and message queues is a plus. Experience building CPU/GPU resource management platforms; familiarity with common NVIDIA GPU architectures; and experience with anomaly diagnosis and troubleshooting is preferred. Experience with distributed storage systems such as HDFS and key-value stores like LevelDB/RocksDB is preferred. Job Information 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.