Software Engineer, Generative AI & ML

Apple; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Apple is seeking a Senior ML Engineer to help shape Gen AI solutions across markets. You will collaborate with engineers, data scientists and researchers to develop multi-turn, agentic LLM-based features, optimize retrieval, and deploy scalable workflows in production.

The role emphasizes model fine-tuning, grounding strategies, and staying current with LLM advances, while ensuring collaboration with product teams to deliver customer-centric AI experiences across markets.

Formación

• 5+ years in ML, backend engineering, data engineering.
• 1-2 years in training or evaluating LLMs.
• Foundational knowledge of RAG and vector retrieval.
• Experience with Rust and Python for orchestration.
• Familiarity with PyTorch, TensorFlow, or JAX.
• Experience with data preprocessing and tokenization.
• Proficiency with transformers and datasets libraries.
• Strong problem-solving and collaboration skills.
• Experience with multi-modal LLMs for voice is a plus.
• Experience deploying to cloud environments (AWS, GCP, on-prem or hybrid).
• Experience training LLMs in Chinese for Greater China
• Fluency in written and spoken Chinese for Greater China

Responsabilidades

• Contribute to model development and fine-tuning workflows for generative AI features.
• Design and evaluate retrieval strategies for grounding large models in product-relevant data.
• Prototype and benchmark multi-round agentic solutions for conversational knowledge-intensive tasks.
• Partner with data and platform engineers to ensure scalable deployment and monitoring.
• Stay current with advancements in large language modeling, vector search, RAG, and LLM Agents.
• Participate in architecture discussions with engineers and partner teams.
• Collaborate with product and business stakeholders to incorporate customer experience requirements into AI solutions.
• Support localization and rollout of AI features across multiple markets.

Conocimientos

ML engineering

Backend engineering

Data engineering

Multi-agent orchestration

Rust

Python

Vector retrieval

Retrieval-Augmented

Educación

CS/ML degree

Herramientas

Rust

Python

PyTorch

TensorFlow

JAX

Docker

Kubernetes

AWS

GCP

Descripción del empleo

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The Customer Systems - Gen AI Solutions team is responsible for building multi-turn, conversational, agentic LLM-based applications and frameworks to support Apple customers across numerous lines of business. You’ll be contributing hands on to a team that consists of engineers, data scientists & researchers to enhance a multi-modal, multi-agent platform with a key focus on incorporating the latest models and advancements to improve, latency, cost and customer experience. This is an incredible opportunity to contribute innovation & research to a well established generative AI platform within Apple. There is a huge amount of opportunity and growth within this space!

Description

• Contribute to model development and fine-tuning workflows for generative AI features.
• Design and evaluate retrieval strategies for grounding large models in product-relevant data.
• Prototype and benchmark multi-round agentic solutions for conversational knowledge-intensive tasks.
• Partner with data and platform engineers to ensure scalable deployment and monitoring.
• Stay current with advancements in large language modeling, vector search, RAG, and LLM Agents.
• Participate in architecture discussions with engineers and partner teams.
• Collaborate with product and business stakeholders to incorporate customer experience requirements into AI solutions.
• Support localization and rollout of AI features across multiple markets.

Preferred Qualifications

• Strong experience partnering with business and engineering team to deliver AI solutions.
• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.

Minimum Qualifications

• 5+ years of hands-on experience in ML, backend engineering, data engineering
• 1-2 years of hands-on experience in training, fine-tuning, or evaluating LLMs
• Foundational understanding of RAG architectures and vector-based retrieval systems
• Exposure to multi-agent orchestration frameworks in Rust and Python.
• Familiarity with modern deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with data preprocessing, tokenization, and pipeline automation.
• Proficiency in machine learning libraries (transformers, datasets).
• Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems.
• Experience working with Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with STT, TTS systems.
• Experience with deploying to cloud environments (AWS, GCP, on-remote hybrid) is required.
• Experience in training, fine-tuning, or evaluating LLMs in Chinese for Greater China market
• Fluency in written and spoken Chinese to support the Greater China market

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.