Responsibilitie

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 systems 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. The efficiency tools team provides a high-quality tool platform and technical outputs for the efficiency and training of online models and the management of the team's massive hardware resources. 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.

Qualification

Minimum Qualifications: 1. Proficient in at least one of Python/Golang/C++, with solid coding skills and good coding practices. 2. Proficient in using common storage and middleware systems such as MySQL, Redis, and MQ, with basic troubleshooting and performance tuning capabilities. 3. 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. 4. Understand and have experience with common time-series/data components such as OpenTSDB, Prometheus, InfluxDB, and OLAP databases like ClickHouse. 5. Strong sense of responsibility, good learning ability, communication skills, and self-motivation, with solid team collaboration. 6. Good documentation habits, able to write and update workflow and technical documents in a timely manner as required. Preferred Qualifications: 1. Experience in upper-layer business systems such as search systems or recommendation systems (development or operations) is a plus. 2. Experience with the React framework and its ecosystem; familiarity with visualization stacks such as ECharts, AntV, and D3.js is preferred. 3. Hands-on experience with AI Agent development is preferred. 4. Familiarity with cloud computing concepts, including virtual machines and containers; a solid understanding of networking and message queues is a plus. 5. Experience building CPU/GPU resource management platforms; familiarity with common NVIDIA GPU architectures; and experience with anomaly diagnosis and troubleshooting is preferred. 6. Experience with distributed storage systems such as HDFS and key-value stores like LevelDB/RocksDB is preferred.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $218400 - $480000 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.