채용
복지 및 혜택
•Equity
•Parental Leave
•Healthcare
•Learning
필수 스킬
PostgreSQL
Python
JavaScript
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:
As a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
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Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
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Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
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Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
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Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
RESPONSIBILITIES:
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Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.
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Lead technical initiatives to productize secure and scalable private connectivity solutions.
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Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.
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Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.
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Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.
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Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.
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Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.
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Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.
REQUIREMENTS:
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Bachelor's degree or higher in Computer Science or related field
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5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments
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Past experience working with enterprise security, compliance, and privacy requirements
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Advanced understanding of distributed systems concepts, cloud architectures, and performance optimization
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Demonstrated ability to independently manage technical projects, from planning and specification through implementation
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Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers
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Preferred experience working with AI/ML systems or familiarity with MLOps practices
BENEFITS:
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Competitive compensation, including meaningful equity.
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100% coverage of medical, dental, and vision insurance for employee and dependents
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Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
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Paid parental leave
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Company-facilitated 401(k)
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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.
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Baseten 소개

Baseten
Series CBaseten 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
직원 수
San Francisco
본사 위치
$1.0B
기업 가치
리뷰
4.1
10개 리뷰
워라밸
4.2
보상
2.8
문화
4.3
커리어
3.5
경영진
3.2
72%
친구에게 추천
장점
Flexible work arrangements and schedules
Supportive team environment and good colleagues
Good benefits and health coverage
단점
Below industry standard compensation and salary
Limited career advancement opportunities
High workload and stressful expectations
연봉 정보
9개 데이터
Junior/L3
L2
L3
L4
L5
L6
Recruiter
Junior/L3 · Recruiter
0개 리포트
$183,600
총 연봉
기본급
-
주식
-
보너스
-
$156,060
$211,140
면접 경험
52개 면접
난이도
3.3
/ 5
소요 기간
14-28주
합격률
42%
경험
긍정 66%
보통 21%
부정 13%
면접 과정
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
자주 나오는 질문
Technical skills
Past experience
Team collaboration
Problem solving
뉴스 & 버즈
Baseten Introduces Delivery Network Aimed at Faster Large-Model Inference - TipRanks
TipRanks
News
·
4w ago
Baseten Technologies - 2026 Funding Rounds & List of Investors - Tracxn
Tracxn
News
·
4w ago
Strat AE l Baseten vs Cursor?
I have an opportunity to go to Baseten or Cursor as a strat rep. I'm torn on the meteoric rose of Cursor vs getting into the inference game given its size & CAGR. What would you do? Anyone have experience with either?
·
5w ago
·
6
·
21
Inferless Joins Baseten
HN
·
9w ago
·
1