Machine Learning Engineer (NLP), WW CSO
Apple
Machine Learning Engineer (NLP), WW CSO
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. 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.
Locations
- Singapore, Singapore, Singapore 569141
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- Large Language Modelsintermediate
- prototyping algorithmsintermediate
- data analysisintermediate
- fine-tuning modelsintermediate
- model deploymentintermediate
- automation pipelinesintermediate
- codingintermediate
- implementationintermediate
- collaboration with cross-functional teamsintermediate
- communication of resultsintermediate
- maintaining expertise in AI advancementsintermediate
- preparing presentationsintermediate
- preparing papersintermediate
- preparing patentsintermediate
Required Qualifications
- 5+ years building NLP/AI software professionally and successfully releasing to customers. (experience, 5 years)
- 5+ years of industry experience building machine learning and deep learning based software applications. (experience, 5 years)
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or (experience)
- M.S. in related field with 3+ years experience applying machine learning engineer to real business problems. (experience, 3 years)
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. (experience)
- Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences. (experience)
- A strong track record of shipping products and publications / patents. (experience)
- Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras). (experience)
- Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design. (experience)
Responsibilities
- 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.
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Answer 10 quick questions to check your fit for Machine Learning Engineer (NLP), WW CSO @ Apple.
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Machine Learning Engineer (NLP), WW CSO
Apple
Machine Learning Engineer (NLP), WW CSO
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. 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.
Locations
- Singapore, Singapore, Singapore 569141
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- Large Language Modelsintermediate
- prototyping algorithmsintermediate
- data analysisintermediate
- fine-tuning modelsintermediate
- model deploymentintermediate
- automation pipelinesintermediate
- codingintermediate
- implementationintermediate
- collaboration with cross-functional teamsintermediate
- communication of resultsintermediate
- maintaining expertise in AI advancementsintermediate
- preparing presentationsintermediate
- preparing papersintermediate
- preparing patentsintermediate
Required Qualifications
- 5+ years building NLP/AI software professionally and successfully releasing to customers. (experience, 5 years)
- 5+ years of industry experience building machine learning and deep learning based software applications. (experience, 5 years)
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or (experience)
- M.S. in related field with 3+ years experience applying machine learning engineer to real business problems. (experience, 3 years)
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. (experience)
- Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences. (experience)
- A strong track record of shipping products and publications / patents. (experience)
- Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras). (experience)
- Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design. (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer (NLP), WW CSO @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs