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求人Baseten

Software Engineer - Model Developer Ecosystem

Baseten

Software Engineer - Model Developer Ecosystem

Baseten

San Francisco

·

On-site

·

Full-time

·

3w ago

必須スキル

Go

Spark

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:

You'll join a small team at Baseten revamping our model library with a focus on helping developers discover, evaluate, and select the right models for their specific use cases. This is a founding role on a new initiative — you'll help shape the ecosystem from both sides, onboarding new models, and educating developers to adopt them effectively.

This isn't a traditional Dev Rel or content role. You'll operate at the intersection of technical depth, community building, and product thinking — creating the guides, evaluations, and educational content that help developers move past the assumption that bigger, more expensive models are always better. The model landscape is becoming increasingly specialized, and you'll help developers navigate it.

This role sits outside existing marketing, content, and product marketing teams, reporting into product.

EXAMPLE INITIATIVES

  • Model Library https://www.baseten.co/library/

  • Model APIs https://www.baseten.co/products/model-apis/

RESPONSIBILITIES:

  • Own the developer-facing narrative for the model library: guides, tutorials, demos, and reference content that help developers choose the right model for the job.

  • Build and nurture both sides of the model ecosystem

  • Develop evaluation frameworks and use-case-specific criteria that go beyond benchmark scores to reflect real-world developer needs.

  • Create community programs, events, and education initiatives that establish Baseten as the destination for model discovery and selection.

  • Collaborate cross-functionally with product, engineering, and marketing to translate developer feedback into product improvements.

  • Represent Baseten externally at conferences, meetups, and community events.

REQUIREMENTS:

  • Hands-on experience as a developer — you can write code, read a diff, and engage credibly with engineers about technical tradeoffs.

  • Proven track record in developer relations, developer education, or technical content at a developer tools or infrastructure company.

  • Strong written and verbal communication skills; you can explain complex technical concepts clearly to a range of audiences.

  • Experience building or contributing to developer communities, ecosystems, or open source projects.

  • Genuine curiosity about the AI/ML model landscape — you follow model releases, understand capability tradeoffs, and care about practical applications over hype.

  • Comfort with ambiguity and a bias toward ownership; this is a new initiative and you'll help define what success looks like.

NICE TO HAVE:

  • Experience with AI/ML infrastructure, inference platforms, or LLM tooling.

  • Familiarity with cost-optimization thinking in AI — evaluating when to use smaller, specialized, or fine-tuned models vs. frontier models.

  • Background supporting open source developer tooling or AI coding agents.

  • Experience running internal AI education programs for engineering organizations.

  • Prior work at a low-code, API-first, or model/data platform company.

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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Basetenについて

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

従業員数

San Francisco

本社所在地

$1.0B

企業価値

レビュー

4.1

10件のレビュー

ワークライフバランス

4.2

報酬

2.8

企業文化

4.3

キャリア

3.5

経営陣

3.2

72%

友人に勧める

良い点

Flexible work arrangements and schedules

Supportive team environment and good colleagues

Good benefits and health coverage

改善点

Below industry standard compensation and salary

Limited career advancement opportunities

High workload and stressful expectations

給与レンジ

9件のデータ

Junior/L3

L2

L3

L4

L5

L6

Recruiter

Junior/L3 · Recruiter

0件のレポート

$183,600

年収総額

基本給

-

ストック

-

ボーナス

-

$156,060

$211,140

面接体験

52件の面接

難易度

3.3

/ 5

期間

14-28週間

内定率

42%

体験

ポジティブ 66%

普通 21%

ネガティブ 13%

面接プロセス

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

よくある質問

Technical skills

Past experience

Team collaboration

Problem solving