软件工程师 - 模型性能
Software Engineer - Model Performance
ABOUT BASETEN
Baseten 为全球最具活力的 AI 公司提供关键任务推理服务，如 Cursor、Notion、OpenEvidence、Abridge、Clay、Gamma 和 Writer。通过结合应用 AI 研究、灵活的基础设施和无缝的开发者工具，我们使处于 AI 前沿的公司能够将前沿模型投入生产。我们正在快速增长，并最近完成了 15 亿美元 F 轮融资 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。
THE ROLE
你是否热衷于推动人工智能的应用？我们正在寻找一名专注于 ML 性能的软件工程师加入我们的团队。这个职位适合在快节奏的初创环境中茁壮成长的人，也适合希望在 LLM 推理这一令人兴奋的领域做出重大贡献的人。如果你是一名后端工程师，擅长让事物更快，并且对开源 ML 模型充满热情，我们期待你的申请。
EXAMPLE INITIATIVES
作为 Model Performance 团队的一员，你将参与以下类型的项目：
- Baseten Embeddings Inference：目前最快的嵌入式解决方案 https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/
- Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/
- 推动模型性能优化 https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/
RESPONSIBILITIES
- 实现、优化并投入生产使用先进的技术（量化、推测解码、KV 缓存重用、分块预填充和 LoRA）用于 ML 模型推理和基础设施。
- 深入研究 TensorRT、PyTorch、TensorRT-LLM、vLLM、sglang、CUDA 和其他库的底层代码库，以调试 ML 性能问题。
- 将优化技术应用于各种 ML 模型，特别是大型语言模型。
- 与多样化团队合作，设计和实现创新解决方案。
- 从想法到生产全程负责项目。
REQUIREMENTS
- 计算机科学、工程、数学或相关领域的学士、硕士或博士学位。
- 有使用一种或多种通用编程语言的经验，例如 Python 或 C++。
- 熟悉 LLM 优化技术（如量化、推测解码、连续性等）
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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
Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Model Performance team:
- Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/
- The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/
- Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/
RESPONSIBILITIES
- Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, KV cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.
- Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vLLM, sglang, CUDA, and other libraries to debug ML performance issues.
- Apply and scale optimization techniques across a wide range of ML models, particularly large language models.
- Collaborate with a diverse team to design and implement innovative solutions.
- Own projects from idea to production.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- Experience with one or more general-purpose programming languages, such as Python or C++.
- Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching).
- Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
- Demonstrated interest and experience in LLMs.
- Deep understanding of GPU architecture.
NICE TO HAVE
- Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs).
- Experience with CUDA or similar technologies.
- Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
- Experience with Docker and Kubernetes.
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).