Machine Learning Engineer

APPLE SOUTH ASIA PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A leading technology company based in Singapore is seeking a highly skilled Machine Learning and Generative AI Engineer. This role involves building and optimizing algorithms, working with Large Language Models, and collaborating with diverse teams to create innovative solutions. Candidates should have over 5 years of experience in NLP and AI software development, with a strong grasp of Python and machine learning tools. If you're passionate about pushing the boundaries of AI technology, apply now.

Qualifications

• 5+ years in NLP/AI software development.
• Experience with state-of-the-art NLP algorithms.
• Strong experience shipping machine learning applications.

Responsibilities

• Prototype and ship world-class algorithms.
• Lead exploration of Large Language Models.
• Deploy models into high-performing production systems.

Skills

NLP/AI software development

Machine learning algorithms

Deep learning applications

Python

TensorFlow

PyTorch

Education

Ph.D. in Computer Science or related field

M.S. in related field with 3+ years experience

Tools

NLTK

spaCy

Keras

Job description

Summary

Imagine what you could do here. The people here at Apple donʼt just create products — they create the kind of wonder thatʼs revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We are looking for a highly skilled and experienced Machine Learning and Generative AI engineer who has a robust understanding of Large Language Models and Generative AI to help work on exciting technologies for future Apple products and bring it to live. In this role, you will join a team of machine learning engineers with different specialization to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience. You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.

Description

In this role, you will focus on the following key areas:

• Youʼll work in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.
• Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.
• Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both.
• Ongoing data analysis to build new or fine‑tune existing models such as GPT to optimize results.
• Partner closely with software engineers to implement these models into high‑performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.
• Actively engage in all aspects of model development, from ideation and experimentation to deployment.
• Communicate results of analyses to business partners and executives.
• Maintain expertise in the latest advancements in AI technology. Partner with your team members to prepare presentations, papers, and patents for your inventions.

Minimum Qualifications

• 5+ years building NLP/AI software professionally and successfully releasing to customers.
• 5+ years of industry experience building machine learning and deep learning based software applications.
• Experience with state‑of‑the‑art NLP algorithms and AI models, Multi‑modal LLMs, Multi‑modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
• Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
• A strong track record of shipping products and publications / patents.
• Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy,Keras).

Preferred Qualifications

• Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.
• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.