Applied Machine Learning Production Engineer Graduate (AML-Production Engineer) - 2027 Start Ba[...]

ByteDance; San Jose (CA); Hybride; USD 128 000 - 256 000; Plein temps

Résumé du poste

ByteDance is seeking a production engineer intern to join the Applied Machine Learning (AML) organization. You will work on large-scale, distributed systems powering machine learning products, with mentorship from experienced engineers and real-world challenges.

You will gain experience in coding, performance analysis, and operations at scale, with opportunities to contribute to systems used by millions of users worldwide. Graduate status and availability by year-end are requested.

Qualifications

• Bachelor's or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid understanding of fundamental data structures and algorithms.
• Foundational programming experience in Python, C++, or Go.
• Keen interest in troubleshooting and distributed systems.
• Strong problem-solving skills and fast learning.

Responsabilités

• Assist in design and development of software and tools to enhance system automation, monitoring, and efficiency.
• Troubleshoot and resolve system issues, analyze root causes, and implement preventative measures.
• Contribute to enhancing existing software by updating capabilities and supporting testing and validation.
• Collaborate with software and hardware engineers to understand requirements and improve performance.
• Learn and apply CS fundamentals to solve real-world problems.

Connaissances

Python

C++

Go

Distributed systems

Troubleshooting

Problem solving

Formation

Bachelor's/Master's in CS/Software Engineering

Outils

Docker

Kubernetes

Linux/Unix

TensorFlow

PyTorch

Description du poste

Location:

San Jose

Team:

Technology

Employment Type:

Regular

Job Code:

A168271

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Responsibilities

The production engineering team for the Applied Machine Learning (AML) organization is at the heart of what we do. We are a global team of engineers who blend deep systems knowledge with software engineering to build and run the large-scale, distributed systems that power our machine learning products. Our mission is to ensure that ByteDance's core machine learning services are reliable, scalable, and efficient.

As a production engineer intern, you will be immersed in a fast-paced, high-impact environment. You will have the opportunity to work on real-world challenges, receive mentorship from experienced engineers, and contribute to systems that serve millions of users worldwide. This is a unique chance to develop your skills in coding, performance analysis, and large-scale system operations.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

• Assisting in the design and development of software and tools to enhance system automation, monitoring, and operational efficiency.
• Participating in troubleshooting and resolving system issues, analyzing root causes, and implementing preventative measures.
• Contributing to the enhancement of existing software by updating capabilities and supporting testing and validation procedures.
• Collaborating with software and hardware engineers to understand system requirements and contribute to performance improvements.
• Learning and applying principles of computer science, engineering, and mathematical analysis to solve real-world problems.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline, or a related discipline.
• Solid understanding of fundamental data structures and algorithms.
• Foundational programming experience in at least one language, such as Python, C++, or Go.
• A keen interest in troubleshooting and analyzing distributed systems.
• Strong problem-solving skills and the ability to learn quickly.

Preferred Qualifications

• Previous internship experience in a related field is a plus, but not required.
• Familiarity with Linux/Unix operating systems.
• Basic understanding of networking concepts (e.g., TCP/IP, HTTP).
• Exposure to containerization technologies like Docker and Kubernetes.
• Experience with Machine Learning frameworks like TensorFlow or PyTorch is a bonus.

Job Information

The base salary range for this position in the selected city is $128000 - $256000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
3. Exercising sound judgment.

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.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request