Sales - Machine Learning Engineer, NLP

Apple Inc.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A leading technology company is seeking a highly skilled Machine Learning and Generative AI engineer to drive innovation and develop advanced technologies for future products. The ideal candidate will have extensive experience in NLP and AI software development, a strong educational background, and proven skills in utilizing machine learning tools. Responsibilities include collaborating with cross-functional teams, developing and deploying models, and communicating insights to stakeholders.

Qualifications

• 5+ years building NLP/AI software professionally.
• Solid understanding of state-of-the-art NLP algorithms and AI models.
• Excellent presentation, written and verbal communication skills.

Responsibilities

• Work with a team of machine learning engineers to prototype and ship algorithms.
• Lead exploration of Large Language Models and Generative AI.
• Communicate results of analyses to business partners and executives.

Skills

NLP

Machine Learning

Deep Learning

Python

TensorFlow

PyTorch

Communication Skills

Education

Ph.D. in Computer Science, Artificial Intelligence, or Machine Learning

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

Tools

TensorFlow

PyTorch

NLTK

spaCy

Keras

Job description

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish!Why Apple?At Apple, we believe our products begin with our people. By hiring a diverse team we drive creative thought. By giving that team everything they need we drive innovation. By hiring incredible engineers we drive precision. And through our collaborative process we build memorable experiences for our customers!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:- You’ll be working 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 engaging 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. Partnering 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.
• 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.

Preferred Qualifications

• 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).
• Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.