Machine Learning Engineer - Machine Learning Infrastructure

Machine Learning Engineer - Machine Learning Infrastructure

Location:

Seattle

Team:
Technology

Employment Type:

Regular

Job Code: TGPV

The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

• Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
• Responsible for improving use-ability and flexibility of the machine learning infrastructure.
• Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
• Responsible for designing and developing key components of ML infrastructure and mentoring interns.

• Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills.
• Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, Map Reduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
• Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems.
• Possess excellent logical analysis ability, able to perform reasonable abstraction and decomposition of business logic.
• Have a strong sense of responsibility, good learning ability, communication ability and self-motivation, and be able to respond and act quickly.
• Have good working document habits, and write and update work flow and technical documents in a timely manner as required.

• Experience contributing to an open sourced machine learning framework (Tensor Flow/PyTorch).
• Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.
• Experience in using/designing open-source machine learning lifecycle management systems: TFX.

The base salary range for this position in the selected city is $177,688 - $416,100 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.

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:

Founded in 2012,…