AI Research Engineer

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

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: $100,000–$150,000 Annually Experience Required: 12+ 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. Key Responsibilities Design, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains. Translate ambiguous business problems into well-scoped ML formulations with clear success metrics and evaluation strategies. Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases. Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology. Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools. Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources. Optimize models for accuracy, latency, throughput, and cost based on production requirements. Develop tooling for dataset construction, labeling, validation, and ongoing monitoring of data quality. Partner with product, design, and domain experts to ensure model behavior aligns with user needs and policy requirements. Implement safety, fairness, and reliability evaluations and incorporate findings into model selection decisions. Document research findings, design decisions, and operational characteristics clearly for both technical and non-technical audiences. Mentor engineers on applied ML methodology, evaluation rigor, and responsible deployment. Contribute to internal knowledge sharing, reading groups, and prototype-to-production playbooks. Influence the broader AI roadmap based on research insight, capability gaps, and emerging opportunities. Required Qualifications Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience. 12 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 pr

AI研究工程师 – 远程 Bright Vision Technologies是一家技术咨询和软件开发公司，在美国各地提供云、AI、数据和企业解决方案。这是一个绝佳的机会，可以加入一家成熟且备受尊重的组织，提供巨大的职业发展潜力。 职位名称：AI研究工程师 地点：100%远程（美国） 职位类型：全职，直接W2 薪资范围：每年$100,000–$150,000 所需经验：12年以上 赞助：鼓励美国公民、绿卡持有者、EAD持有者和H-1B转移候选人申请。我们无法为此职位赞助新的H-1B签证申请。 职位摘要：我们正在寻找一名AI研究工程师，以桥接前沿应用研究和生产工程，设计和交付解决高影响力业务问题的先进机器学习系统。该角色将科学严谨性与实用软件工程相结合，需要对现代ML和深度学习技术有深入理解，同时具备构建稳健、可扩展且良好仪表化的生产管道的能力。理想的候选人应紧跟快速演变的AI研究 landscape，能够批判性地评估新技术在现实世界中的适用性，并舒适地在从问题 framing 和实验到部署和持续改进的整个生命周期中运作。 关键职责 在自然语言、视觉、推荐和结构化数据领域设计、原型和评估应用AI解决方案。 将模糊的业务问题转化为范围明确的ML公式，并制定明确的成功指标和评估策略。 紧跟深度学习、大型语言模型和相邻领域的最新研究，并评估其对内部用例的适用性。 实施严格的实验工作流，包括基线、消融和统计上可靠的评估方法。 使用现代ML框架和编排工具构建生产质量的训练和推理管道。 与ML平台工程师合作，确保高效利用计算、存储和加速器资源。 根据生产需求优化模型的准确性、延迟、吞吐量和成本。 开发用于数据集构建、标注、验证和数据质量持续监控的工具。 与产品、设计和领域专家合作，确保模型行为符合用户需求和政策要求。 实施安全、公平和可靠性评估，并将发现纳入模型选择决策。 为技术和非技术受众清晰记录研究发现、设计决策和操作特征。 指导工程师应用ML方法、评估严谨性和负责任部署。 为内部知识分享、阅读小组和原型到生产 playbook 做出贡献。 基于研究洞察、能力差距和新兴机会影响更广泛的AI路线图。 所需资格 计算机科学、机器学习、统计学或密切相关领域的硕士或博士；或等效的应用经验。 12年以上结合研究和应用ML工程经验。 精通Python和现代ML框架，如PyTorch或JAX。 具有在非平凡规模上训练、微调和评估深度学习模型的动手经验。 扎实的数学、统计学和现代ML理论基础。 具有将ML模型从研究原型带到生产并配备适当可观测性和保障措施的经验。 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技能，包括清晰解释复杂方法的能力。 展示阅读、评估和适应当前研究文献中技术的能力。 交付有影响力的应用AI项目的跟踪记录

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准