AI 研究工程师
AI Research Engineer
AI 研究工程师 – 远程办公
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、人工智能、数据和企业解决方案。
这是一个加入一家知名且备受尊敬的组织的绝佳机会,提供巨大的职业发展潜能。
职位名称:AI 研究工程师
工作地点:100% 远程(美国)
职位类型:全职,直接 W2
薪资范围:每年 8 万至 10 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 转移候选人欢迎申请。我们无法为该职位提供新的 H-1B 签证申请。
职位简介
我们正在寻找一名 AI 研究工程师,将前沿应用研究与生产工程相结合,设计并交付解决高影响力业务问题的先进机器学习系统。该职位融合了科学严谨性与实际软件工程能力,要求对现代 ML 和深度学习技术有深入理解,同时具备构建稳健、可扩展且具备良好监控功能的生产流程的能力。理想的候选人紧跟快速发展的 AI 研究动态,能够批判性地评估新技术在现实场景中的适用性,并能在从问题定义、实验到部署和持续改进的整个生命周期中自如操作。
所需资格
· 计算机科学、机器学习、统计学或相关领域的硕士或博士学历;或同等的实际工作经验。
- 六年以上研究和应用 ML 工程的综合经验。
- 精通 Python 和现代 ML 框架,如 PyTorch 或 JAX。
- 具备在非小规模上训练、微调和评估深度学习模型的实际经验。
- 扎实的数学、统计学基础以及现代 ML 的理论根基。
- 具备将 ML 模型从研究原型转化为生产环境的经验,并配备适当的可观测性和保障措施。
- 熟悉分布式训练、混合精度训练和加速器硬件。
- 强大的书面和口头沟通能力,包括清晰解释复杂方法的能力。
- 能够阅读、评估并适应当前研究文献中的技术。
- 有交付具有影响力的 AI 应用项目的记录。
优先资格
· 在顶级 AI/ML 会议上发表过研究成果。
- 具有使用 Kubernetes、Docker 或类似工具进行容器化和部署的经验。
- 有在云平台上(如 AWS、GCP 或 Azure)部署和管理 ML 服务的经验。
查看英文原文
AI Research 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: AI Research Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$100,000 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 seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement.
Required Qualifications
· Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience.
- Six or more years of combined research and applied ML engineering experience.
- Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
- Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale.
- Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML.
- Experience taking ML models from research prototype to production with appropriate observability and safeguards.
- Familiarity with distributed training, mixed-precision training, and accelerator hardware.
- Strong written and verbal communication skills, including ability to explain complex methods clearly.
- Demonstrated ability to read, evaluate, and adapt techniques from current research literature.
- Track record of shipping impactful applied AI projects.
Preferred Qualifications
· Published research at top-tier AI/ML venues.
- Experience with large language model training, fine-tuning, or evaluation.
- Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
- Exposure to responsible AI, model evaluation, and alignment practices.
- Experience contributing to open-source ML projects.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to . Learn more about Bright Vision Technologies at www.bvteck.com.
Bright 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