Software Engineer, Applied Machine Learning - USDS

Responsibilities

About the Team:
AML (Applied Machine Learning) Platform team combines system engineering and the art of machine learning to develop and run a massively distributed AML system for the United States and all around the world.

On the AML Platform team, you'll have the opportunity to sharpen your expertise in coding, performance analysis, and large-scale systems operation. Join us and you'll have the chance to shape the future of AML systems and make a real, tangible impact on TikTok users.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities:
Design, build, and maintain highly available, scalable, and fault-tolerant systems.
Update existing AML systems and enhance existing software capabilities.
Ensure that applications are designed with reliability, scalability, and performance in mind.
Monitor and analyze system performance, identifying and resolving issues before causing user impact.
Develop and maintain automated monitoring, alerting, and incident response systems.
Implement and maintain security best practices and ensure compliance with regulatory requirements.
Participate in on-call rotations and respond to issues and incidents within and outside of normal business hours.
Conduct root cause analysis of incidents, hold post-mortem reviews with stakeholders, and implement preventative measures to minimize the risk of similar incidents occurring in the future.

Qualifications

Minimum Qualifications
Expertise in analyzing and troubleshooting Linux-based distributed systems.
Bachelor's/Master's degree in Computer Science, Computer Engineering, or equivalent years of experience in a software engineering role.
Experience programming with at least one commonly used language (C, C++, Python, Go).

Preferred Qualifications
Strong understanding of data structures and algorithms.
Competent knowledge of relational database systems.
Ability and experience in designing, developing and maintaining large-scale distributed systems, multi-tenant systems.
Strong understanding of code optimization and routine task automation.
Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $118657 - $259200 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:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

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; and

3. Exercising sound judgment.