远程工作雷达

生成式AI工程师

Generative AI Engineer

AI开发工程限定地区(需当地身份)
公司Bright Vision Technologies
薪资$90,000 - $115,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

生成式AI工程师 – 远程

Bright Vision Technologies是一家技术咨询和软件开发公司,为美国各地提供云计算、AI、数据和企业解决方案。
这是一个加入一家知名且受人尊敬的组织的绝佳机会,提供巨大的职业发展潜力。

职位名称:生成式AI工程师
工作地点:100%远程(美国)
职位类型:全职,直接W2
薪资范围:每年9万美元–11.5万美元
所需经验:6年以上

签证支持:美国公民、绿卡持有者、EAD持有者以及H-1B转签候选人欢迎申请。我们无法为该职位的新H-1B签证申请提供支持。

职位简介
我们正在寻找一名生成式AI工程师,负责设计、执行并实现大型语言模型的微调流程,涵盖监督学习、基于偏好和强化学习的方法。该职位需要对现代训练栈有深入的实际经验,注重数据集的构建,严谨的评估方法,以及工程规范以可靠地运行复杂的训练流程。理想的候选人应具备强大的机器学习直觉和生产级别的工程实践,并能熟练处理数据质量、计算预算、评估严谨性和交付速度之间的权衡。在此职位上,您将与跨职能团队——产品、设计、工程、运营和业务利益相关者密切合作,将模糊的需求转化为良好的工程解决方案,并期望通过代码审查、设计审查和对初级工程师的指导来提升标准。成功候选人应具备强大的工程规范、清晰的沟通风格,以及在生产环境中表现良好的有意义工作的记录。

所需资格
· 计算机科学、机器学习或相关领域的硕士或博士学位;或同等经验。

  • 六年或以上机器学习研究和工程经验,具有显著的大语言模型(LLM)经验。
  • 精通Python和现代深度学习框架,尤其是PyTorch。
  • 有在非小规模下微调基于Transformer的语言模型的实际经验。
  • 熟悉分布式训练策略,包括FSDP、ZeRO和管道并行。
  • 有RLHF、DPO或其他偏好优化技术的经验。
  • 对评估方法、基准测试和人工评估有深刻理解。
查看英文原文

Generative AI Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Generative AI Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $90,000–$115,000 Annually
Experience Required: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary
We are looking for an Generative AI Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, and is comfortable navigating the trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Required Qualifications
· Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience.

  • Six or more years of combined ML research and engineering experience, with significant LLM exposure.
  • Strong proficiency in Python and modern deep learning frameworks, especially PyTorch.
  • Hands-on experience fine-tuning transformer-based language models at non-trivial scale.
  • Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism.
  • Experience with RLHF, DPO, or other preference optimization techniques.
  • Strong understanding of evaluation methodology, benchmarks, and human evaluation design.
  • Experience operating training jobs on GPU clusters and recovering from failures.
  • Strong written and verbal communication skills.
  • Track record of shipping or publishing impactful LLM work.

Preferred Qualifications
· Publications at top-tier ML venues.

  • Experience with multimodal model fine-tuning.
  • Familiarity with synthetic data generation and dataset distillation.
  • Open-source contributions to LLM training libraries.
  • Exposure to responsible AI evaluation and red-teaming practices.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to
Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Originally posted on Himalayas

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