前线部署工程师（培训）
Forward Deployed Engineer (Training)
关于Baseten
Baseten为全球最具活力的AI公司提供关键的推理支持，包括Cursor、Notion、OpenEvidence、Abridge、Clay、Gamma和Writer。通过结合应用AI研究、灵活的基础架构和无缝的开发者工具，我们使处于AI前沿的公司能够将最先进的模型投入生产。我们正在快速成长，并最近完成了15亿美元的F轮融资，详情请见https://www.baseten.co/blog/announcing-our-series-f/，由Altimeter Capital、Conviction Partners和Spark Capital领投。加入我们，帮助构建工程师们用来交付AI产品的平台。
职位描述
Forward Deployed Engineers直接与全球最大、发展最快的AI公司合作，负责在Baseten上的技术成果，并解决在大规模服务和提升模型中遇到的最困难的问题。工作涵盖模型生命周期：推理、训练后优化以及连接两者的系统。
- 作为每个客户在Baseten的实质CTO，对他们的工作负载设计、运行和扩展负最终责任。
- 将模糊的客户目标转化为实际产品：定义问题、制定规格和成功标准，构建原型，并使用合适的工具快速推进到生产环境。
- 设计评估和基准测试，识别质量或性能不足的环节，然后亲自解决问题，无论是优化推理、通过训练后优化改进模型，还是重新设计评估本身。
- 作为关键故障的第一响应者，包括故障诊断、直接负责修复或转交给相关团队，并持续负责直到问题解决。
- 构建内部系统，使每次合作都比上一次更快。这包括评估和部署基础设施的工具和自动化，以及使产品更易自助使用的配方和参考实现。
- 影响产品本身，将客户的需求纳入路线图，并亲自将修复和功能推向Baseten的代码库。
- 同时处理多个客户的工作，合理安排任务顺序，在正确的时间引入合适的人选，并保持客户和内部利益相关者对状态和风险的同步。
要求
- 至少1-2年的软件工程经验，有在大型生产系统中交付和维护代码的经验，最好具备全栈经验
- 有调试复杂生产环境的经验
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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 $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them.
- Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled.
- Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem.
- Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself.
- Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships.
- Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve.
- Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself.
- Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk.
REQUIREMENTS
- Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack
- Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems
- Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems
- Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product
- Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership
- Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it
- Willingness to respond to customers outside regular working hours and participate in an on-call rotation
- Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads
WHAT YOU'LL BRING
We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following:
- Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE)
- Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloads
- A detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang
- The ability to profile and optimize GPU workloads, in training or serving
- Hands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAX
- Operational depth - running on-call, leading incident response, debugging distributed systems under pressure
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- 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).