内推职位 - Lyft

职位1

Data Scientist - Autonomous Vehicles

Palo Alto, CA

Job ID: FL17720921

Summary

KEY RESPONSIBILITIES

Develop analytical frameworks and business metrics to measure performance with statistical rigor
Partner with product managers, engineers, program managers, operations and leadership to translate data insights into decisions and action
Find opportunities for efficiency improvements in the Autonomous program using data
Ownership over data from instrumentation to executive-facing dashboards
Author scalable ETL pipeline workflows using workflow orchestration engines like Airflow.
Write advanced SQL for query engines like BigQuery to compute metrics or failure modes across large time-series data

BASIC QUALIFICATIONS

Degree in a quantitative field - advanced degrees are preferred
Industry experience in a data science or analytics role
Proficiency in SQL - able to write structured and efficient queries on large data sets
Experience in programming, especially with data science and visualization libraries (Python preferred)
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
(Nice to have) Experience with various interactive query engines (e.g., BigQuery, Presto), or data processing frameworks (e.g. Spark, Flink, Beam, Hive).
(Nice to have) Experience with workflow orchestration platforms (Airflow, Oozie, Azkaban).
(Nice to have) Good understanding of SQL Engine and able to conduct advanced performance tuning

职位2

Infrastructure Engineer, Compute

San Francisco, CA/Seattle, WA

Job ID: FL17720922

Summary

KEY RESPONSIBILITIES

Build and deploy open-source Kubernetes at scale, creating Lyft-specific systems and extensions to manage our fleet reliably
Design, build and maintain tooling and services to improve efficiency and reliability of our Kubernetes platform and to enable users to confidently run their services on our infrastructure
Work with product engineering teams to understand their use cases, communicate design trade-offs effectively, and design and build scalable systems to solve for their needs
Debug complex problems between application layers and low-level infrastructure
Build and develop partnerships across the organization to provide a great customer experience
Drive incident responses to conclusion by coach the team on operational best practice and identifying long-term systemic fixes
Develop and improve testing and automation processes in order to reduce operational burden
Work with and contribute back to open source communities (e.g. Kubernetes, Envoy) to implement and maintain world-class infrastructure that scales

BASIC QUALIFICATIONS

You have experience building and operating Kubernetes and executing deployments at scale in production environments
You have experience developing in Go or Python
You understand the importance of effective testing in order to release reliable software
You are comfortable with operating and debugging Linux systems in production
You take pride in reducing technical debt; you pay attention to small details, and you value keeping code/configuration clean and maintainable
You value root-causing operational issues across multiple layers of the stack and implementing systemic solutions to make sure issues do not reoccur

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