Senior Machine Learning Engineer, MLE

Company Description

About Grab and our workplace

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

关于Grab及我们的工作环境
Grab是东南亚领先的一站式超级应用。我们致力于通过提供配送、出行、金融服务、企业服务等日常生活服务，改善东南亚数百万用户的生活。更重要的是，我们为他们创造过上更好生活的机会。这一切的起点就在Grab内部，因为我们相信工作与生活的无缝融合，让生活的方方面面都变得更美好。

职位描述
了解我们的团队
Grab致力于在东南亚打造领先的O2O平台，而平台效率是衡量业务能力的关键因素。本团队为不同业务线（出行、餐饮配送、快递等）提供路线规划/导航/预估到达时间（ETA）能力。我们的目标是为司机伙伴提供最有效、最可靠的实时信号（如路况事件、交通信息、行车记录仪检测结果），以实现更高的平台效率。

了解这个岗位
在这里，你将深度参与地理信息行业最前沿的路线规划/导航算法的开发与研究，更贴近业务的核心指标，并利用海量真实数据探索其与现实世界的关联。最重要的是，你将有机会通过一点一滴的洞察推动Grab的业务增长，并最终见证业务指标的提升。
我们正在寻找一位高级机器学习工程师，来构建先进的实时感知能力，帮助我们的司机伙伴以最高效的方式完成工作。我们需要你卓越的机器学习技能来优化导航体验（包括场景细化、导航定位、引导优化、用户定制化、与实时信号的交互、数据埋点与分析等）。同时，我们也希望你充分发挥才能，大胆提出创意想法，并与团队成员一起实践落地。

日常工作内容
1.构建可靠的L3/L4级智能化流程，打造稳健且可扩展的解决方案来处理实时信号。
2.基于海量的用户轨迹数据，构架交通基座大模型，提升ETA路径规划等能力。 
3.基于手机或车载行车记录仪等低成本视觉设备，打造以视觉为基础的交通事件的感知模型。
4.设计、构建和运维可靠的数据管道，覆盖实时流式处理和大规模批量处理，包括实时事件数据及其他地理空间信号。
5.将原始且嘈杂的数据转化为可信赖的特征、洞察和数据集，以支持路线规划、导航、路况和地图质量等相关应用场景。
6.建立监控、数据质量检查、评估框架和反馈闭环，确保数据管道和模型输出的可靠性。
7.与产品经理、数据科学家、分析师和工程师紧密协作，定义问题、开展实验并交付可扩展的解决方案。
8.探索新兴技术，并将其务实地应用于提升团队的工程效率和产品成果。

Qualifications

任职要求
必备条件
1.两年以上机器学习工程经验。
2.扎实的计算机科学基础，包括算法和数据结构。
3.有开发和维护大规模微服务的经验。
4.有构建和运维生产级批量及实时数据处理管线的实战经验。
5.能够处理噪杂或不完整的数据，定义合适的评估指标，并将模糊的业务问题转化为可衡量的技术解决方案。
6.热衷于构建产品和功能以推动业务增长。
7.熟悉任何一种编程语言并具备良好的编码能力，同时愿意使用Golang进行开发。熟练掌握Golang将是一个很大的加分项。

加分项
1.有处理地理空间、路线规划、导航、路况、事件或地图相关数据的经验。
2.熟悉流式处理技术，如Kafka、Flink、Spark Streaming或同类系统。
3.有构建面向工程或运维工作流的智能化自动化的经验，包括RAG、工具集成、评估和Harness工程。
4.熟悉数据分析、模型监控、实验设计和生产级ML生命周期管理。
5.熟悉AWS或Azure等云服务。

Additional Information

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We’ve got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.