채용
필수 스킬
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:
As a Solution Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.
RESPONSIBILITIES:
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Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
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Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
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Own benchmarking and repeatable deployments, including:
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Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.
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Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
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Driving consistent “playbook” style deployments for common models and use cases.
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Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them
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Drive POC and project execution, including:
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Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
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Acting as the “ringleader” or project manager for POCs.
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Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS:
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AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
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Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
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Technical depth to scope solutions, without needing to write production code.
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Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE:
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Experience running or supporting benchmarks for ML inference deployments.
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Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
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Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
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
3.9
10개 리뷰
워라밸
4.2
보상
2.8
문화
4.1
커리어
2.5
경영진
3.2
72%
친구에게 추천
장점
Good work-life balance
Supportive team and management
Great culture and teamwork
단점
Limited career advancement opportunities
Compensation issues
Management communication problems
연봉 정보
14개 데이터
Junior/L3
L2
L3
L4
L5
L6
Recruiter
Intern
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
Nvidia invests $150 million in AI inference startup Baseten - MSN
MSN
News
·
6d ago
Exclusive: Baseten, AI inference unicorn, raises $150 million at $2.15 billion valuation - MSN
MSN
News
·
1w ago
Nvidia invests $150 million in AI inference startup Baseten - MSN
MSN
News
·
1w ago
Baseten Introduces Delivery Network Aimed at Faster Large-Model Inference - TipRanks
TipRanks
News
·
6w ago