The Role
As a Senior Machine Learning Engineer - Search, you'll design and deploy advanced search and recommendation models, focusing on user intent and enhancing the GoFood and GoPay platforms.
Summary Generated by Built In
About the Role
As a Senior Machine Learning Engineer – Search, you will play a pivotal role in shaping the intelligence behind GoFood and GoPay. You’ll design, build, and deploy cutting-edge search, recommendation, and monetization models that power on-demand and financial use cases across Indonesia.
In your first six months, you’ll help launch foundational platform capabilities and partner closely with business-facing data science teams to drive measurable business impact and elevate the user experience.
If you’re passionate about applying advanced algorithms to solve real-world problems at scale, this role is one of the highest-leverage opportunities in the company.
What you will do
- Design and optimise hybrid lexical–semantic retrieval pipelines (e.g., BM25, dense vectors, HNSW/LSH, generative retrieval) to improve precision and recall across GoFood and GoPay surfaces.
- Build high-quality embeddings and relevance signals that capture user intent, cuisine and dish semantics, geolocation, delivery constraints, price sensitivity, and promotions.
- Develop multi-task deep ranking models that balance conversion, diversity, merchant quality, and long-term user retention, integrating real-time signals such as promotions, surge, and stock availability.
- Build personalised ranking layers and user behaviour models leveraging historical orders, preferences, and contextual features.
- Engineer recommendation algorithms using collaborative filtering, graph-based methods, and sequence models for retrieval expansion (e.g., Q2Q2I, Q2I2I, U2I), including for cold-start merchants and new dishes.
- Advance embedding quality for multi-modal data (text, images, behavioural signals) and use LLMs to enhance structured knowledge (taxonomy tagging, dish attributes, dietary labels).
- Incorporate structured metadata, taxonomy signals, and knowledge-graph features into retrieval and ranking pipelines to improve semantic understanding and consistency.
What you will need
- Master’s degree or higher in Computer Science, Machine Learning, NLP, CV, or a related field; strong programming skills in Python, C++, or Java.
- Hands-on experience building large-scale ranking or recommendation systems in consumer products (ecommerce, food delivery, rideshare, ads, streaming, social).
- Familiarity with LLMs and/or LLVMs. Experience integrating them into search or recommendation pipelines is a strong plus.
- Demonstrated ability to innovate with new algorithms or tools and drive measurable impact, especially making use of Large language Models (LLMs) and Large Language and Vision models (LLVMs) in search or recommendation modeling.
- Strong product intuition and ability to reason from user behavior data and traffic patterns.
- Good communication skills in English, both written and verbal.
- Self-motivated, curious, and excited by the opportunity to build high-impact systems quickly.
About the Team
We are a growing team of algorithm specialists and engineers based across China and Singapore. We build the core search and recommendation platform that powers a wide range of use cases across the GoTo ecosystem.
Our team has a strong bias for action and a shared passion for deploying models that make a real difference—whether it’s improving ranking accuracy, scaling LLM-enhanced retrieval, or personalizing customer journeys.
We believe algorithm development is a team sport. We work openly, challenge ideas with curiosity, and support each other in building systems that move the business forward.
About GoTo Group
GoTo is the largest digital ecosystem in Indonesia. GoTo's mission is to 'empower progress' by offering technology infrastructure and solutions that help everyone to access and thrive in the digital economy.
The GoTo ecosystem provides a wide range of services, including mobility, delivery, payments, financial services, and technology solutions for merchants. The ecosystem also provides e-commerce services through Tokopedia and banking services through its partnership with Bank Jago.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
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Skills Required
- Master's degree or higher in Computer Science, Machine Learning, or related field
- Strong programming skills in Python, C++, or Java
- Hands-on experience building large-scale ranking systems
- Familiarity with LLMs and/or LLVMs
- Strong product intuition and user behavior analysis skills
- Good communication skills in English
- Self-motivated and enthusiastic about building high-impact systems
GoTo Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GoTo Group and has not been reviewed or approved by GoTo Group.
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Fair & Transparent Compensation — Pay is considered competitive to above market for many corporate roles across core entities such as Gojek, Tokopedia, and GoTo Financial. Base pay is often characterized as solid or above market in Indonesia tech roles.
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Healthcare Strength — Medical coverage is characterized as strong in Indonesia and often extends to spouses and children. Company materials also highlight wellness support, parental insurance, and mental‑health counseling for employees and families.
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Leave & Time Off Breadth — Leave programs are described as generous, including maternity, paternity, and other special leave types at Tokopedia. Broader time‑off and flexibility practices are portrayed as supportive across corporate roles.
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The Company
What We Do
GoTo is the largest technology group in Indonesia, combining on-demand, e-commerce and financial services through the Gojek, Tokopedia and GoTo Financial brands. It is the first platform in Southeast Asia to host these three essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure. GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.
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