机器学习工程师 – 强化学习
Machine Learning Engineer – RL
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、人工智能、数据和企业解决方案。
这是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：机器学习工程师 – 强化学习
地点：100% 远程（美国）
职位类型：全职，直接 W2
薪资范围：每年 155,000–180,000 美元
所需经验：6 年以上
赞助：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。我们无法为该职位新申请 H-1B 签证。
职位简介：
我们正在寻找一名机器学习工程师 – 强化学习，负责设计、训练和部署基于强化学习的系统，解决仅靠监督学习无法解决的高影响力决策问题。该职位需要对现代强化学习算法、仿真环境、奖励建模以及在大规模上训练和评估策略的工程复杂性有深入了解。理想的候选人兼具研究深度和工程务实精神，有将强化学习解决方案从实验室推向生产环境的经验，其中稳定性、安全性和持续改进至关重要。
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历；或同等的实际工作经验。
- 六年或以上强化学习研究和工程经验。
- 精通 Python 和现代深度学习框架。
- 至少一个主要强化学习库或内部强化学习架构的实际操作经验。
- 对概率论、优化和强化学习的理论基础有扎实的理解。
- 在非简单环境中设计和调整奖励函数的经验。
- 熟悉仿真环境和大规模经验收集。
- 在 GPU 集群上训练神经网络策略的经验。
- 良好的书面和口头沟通能力。
- 有发布或推出具有影响力的强化学习工作的记录。
优先考虑的资格
· 有大型语言模型的 RLHF 经验。
- 熟悉多智能体强化学习或分层强化学习。
- 有机器人、控制系统或自动驾驶方面的经验。
- 在强化学习或相关研究领域有发表论文。
- 有强化学习库或环境的开源贡献。
如何申请
想了解更多这个机会吗？如需立即考虑，请将简历发送至 或联系
查看英文原文
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: Machine Learning Engineer – RL
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $155,000–$180,000 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 a Machine Learning Engineer - RL to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.
Required Qualifications
· Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.
- Six or more years of combined RL research and engineering experience.
- Strong proficiency in Python and modern deep learning frameworks.
- Hands-on experience with at least one major RL library or in-house RL stack.
- Solid understanding of probability, optimization, and the theoretical foundations of RL.
- Experience designing and tuning reward functions in non-trivial environments.
- Familiarity with simulation environments and large-scale experience collection.
- Experience training neural network policies on GPU clusters.
- Strong written and verbal communication skills.
- Track record of shipping or publishing impactful RL work.
Preferred Qualifications
· Experience with RLHF for large language models.
- Familiarity with multi-agent RL or hierarchical RL.
- Exposure to robotics, control systems, or autonomous driving.
- Publications in RL or related research venues.
- Open-source contributions to RL libraries or environments.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908)676-4399. Learn more about Bright Vision Technologies at .
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