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职位Baseten

Data Engineer

Baseten

Data Engineer

Baseten

San Francisco

·

On-site

·

Full-time

·

3w ago

必备技能

Kafka

Spark

Airflow

Machine Learning

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E https://www.baseten.co/blog/announcing-baseten-s-300m-series-e/, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE:

We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.

You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.

You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.

RESPONSIBILITIES:

  • Design and maintain core data models and semantic layers

  • Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks

  • Analyze inference and infrastructure telemetry, including data from Open Telemetry, Grafana, and other observability tools

  • Define and maintain company-wide metrics across product usage, performance, and customer lifecycle

  • Enable self-service analytics through agents and tools, with well-structured semantic layers and context

  • Ensure data reliability and quality through testing, documentation, and governance

  • link

PREFERRED QUALIFICATIONS:

  • Understanding of inference metrics such as latency, throughput, token usage, and model performance

  • Experience supporting B2B SaaS and/or consumption-based platforms

  • Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes

BENEFITS:

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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关于Baseten

Baseten

Baseten

Series C

Baseten provides a platform for deploying and scaling machine learning models in production environments. The company offers infrastructure and tools for ML engineers to build, deploy, and monitor AI applications.

51-200

员工数

San Francisco

总部位置

$1.0B

企业估值

评价

4.1

10条评价

工作生活平衡

4.2

薪酬

2.8

企业文化

4.3

职业发展

3.5

管理层

3.2

72%

推荐给朋友

优点

Flexible work arrangements and schedules

Supportive team environment and good colleagues

Good benefits and health coverage

缺点

Below industry standard compensation and salary

Limited career advancement opportunities

High workload and stressful expectations

薪资范围

9个数据点

Junior/L3

L2

L3

L4

L5

L6

Recruiter

Junior/L3 · Recruiter

0份报告

$183,600

年薪总额

基本工资

-

股票

-

奖金

-

$156,060

$211,140

面试经验

52次面试

难度

3.3

/ 5

时长

14-28周

录用率

42%

体验

正面 66%

中性 21%

负面 13%

面试流程

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

常见问题

Technical skills

Past experience

Team collaboration

Problem solving