AIML - Sr. Machine Learning Engineer - ML Platform Technologies (MLPT)
Apple
AIML - Sr. Machine Learning Engineer - ML Platform Technologies (MLPT)
Job Description
Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. Ideally, you should have experience with shipping intelligent features, end-to-end, and from idea to production. You should also have experience in building ML infrastructure to enable others to iterate faster and expertise in certain ML domains (preferably in Gen AI and LLM). You will help find novel solutions for our ML problems and collaborate with all ML teams at Apple to optimize our platform. Are you ready to impact billions of our users? You'll be part of Apple’s internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more. Bring your expertise to help us define and build the next set of features (given the new challenges in the latest advancement of generative AI and large language models). You will also partner closely with our customer and other internal partner ML teams cross the company to help further adopt and apply our platform, gain feedback and iterate our products (services, SDK and web UI) to be more user friendly and scalable.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
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
- experience in machine learning engineeringintermediate
- experience in ML infrastructureintermediate
- shipping intelligent features end-to-endintermediate
- building ML infrastructureintermediate
- expertise in Generative AIintermediate
- expertise in Large Language Modelsintermediate
- finding novel solutions for ML problemsintermediate
- collaborating with ML teamsintermediate
- data engineeringintermediate
- labelingintermediate
- trainingintermediate
- online evaluationintermediate
- offline evaluationintermediate
- experimentationintermediate
- partnering with customer teamsintermediate
- gaining feedbackintermediate
- iterating productsintermediate
- developing servicesintermediate
- developing SDKintermediate
- developing web UIintermediate
- ensuring scalabilityintermediate
- ensuring user-friendlinessintermediate
Required Qualifications
- A minimum of 3 years as tech lead (experience, 3 years)
- 8 years of proven experience in machine learning related software engineering, such as: product, infrastructure, frameworks or tools (experience, 8 years)
- Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (preferred) (experience)
- Proficient in ML training and deployment frameworks, like: Tensorflow, PyTorch, Faster Transformer, TensorRT, vLLM (experience)
- Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, PySpark, SQL (experience)
- Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions (experience)
- Bachelors in Computer Science, related field or equivalent experience (experience)
Preferred Qualifications
- Advance degree (degree)
- Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (experience)
Responsibilities
- You'll be part of Apple’s internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more.
- Bring your expertise to help us define and build the next set of features (given the new challenges in the latest advancement of generative AI and large language models). You will also partner closely with our customer and other internal partner ML teams cross the company to help further adopt and apply our platform, gain feedback and iterate our products (services, SDK and web UI) to be more user friendly and scalable.
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AIML - Sr. Machine Learning Engineer - ML Platform Technologies (MLPT)
Apple
AIML - Sr. Machine Learning Engineer - ML Platform Technologies (MLPT)
Job Description
Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. Ideally, you should have experience with shipping intelligent features, end-to-end, and from idea to production. You should also have experience in building ML infrastructure to enable others to iterate faster and expertise in certain ML domains (preferably in Gen AI and LLM). You will help find novel solutions for our ML problems and collaborate with all ML teams at Apple to optimize our platform. Are you ready to impact billions of our users? You'll be part of Apple’s internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more. Bring your expertise to help us define and build the next set of features (given the new challenges in the latest advancement of generative AI and large language models). You will also partner closely with our customer and other internal partner ML teams cross the company to help further adopt and apply our platform, gain feedback and iterate our products (services, SDK and web UI) to be more user friendly and scalable.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
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
- experience in machine learning engineeringintermediate
- experience in ML infrastructureintermediate
- shipping intelligent features end-to-endintermediate
- building ML infrastructureintermediate
- expertise in Generative AIintermediate
- expertise in Large Language Modelsintermediate
- finding novel solutions for ML problemsintermediate
- collaborating with ML teamsintermediate
- data engineeringintermediate
- labelingintermediate
- trainingintermediate
- online evaluationintermediate
- offline evaluationintermediate
- experimentationintermediate
- partnering with customer teamsintermediate
- gaining feedbackintermediate
- iterating productsintermediate
- developing servicesintermediate
- developing SDKintermediate
- developing web UIintermediate
- ensuring scalabilityintermediate
- ensuring user-friendlinessintermediate
Required Qualifications
- A minimum of 3 years as tech lead (experience, 3 years)
- 8 years of proven experience in machine learning related software engineering, such as: product, infrastructure, frameworks or tools (experience, 8 years)
- Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (preferred) (experience)
- Proficient in ML training and deployment frameworks, like: Tensorflow, PyTorch, Faster Transformer, TensorRT, vLLM (experience)
- Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, PySpark, SQL (experience)
- Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions (experience)
- Bachelors in Computer Science, related field or equivalent experience (experience)
Preferred Qualifications
- Advance degree (degree)
- Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (experience)
Responsibilities
- You'll be part of Apple’s internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more.
- Bring your expertise to help us define and build the next set of features (given the new challenges in the latest advancement of generative AI and large language models). You will also partner closely with our customer and other internal partner ML teams cross the company to help further adopt and apply our platform, gain feedback and iterate our products (services, SDK and web UI) to be more user friendly and scalable.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr. Machine Learning Engineer - ML Platform Technologies (MLPT) @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs