AIML - Machine Learning Engineer, Retrieval and Ranking Quality Siri & Information Intelligence
Apple
AIML - Machine Learning Engineer, Retrieval and Ranking Quality Siri & Information Intelligence
Job Description
We are looking for a Senior Machine Learning engineering with a passion for using machine learning to create intelligent and personalized search applications. Our team researches and implements novel retrieval and ranking techniques, machine learning algorithms and large language models that power amazing Search experiences across Apple products. We are looking for an ambitious engineer to join our ML group. This role will have the opportunity to initiate and deliver exciting projects to further shape the state of retrieval and ranking quality at Apple. As a Senior Machine Learning engineer, you will use innovative data mining, machine learning and data-driven analytical skills to solve challenging technical problems and ship novel products that will delight millions of people! This role will have the chance to create and evaluate new retrieval and ranking algorithms, models and methods that will impact Apple and the broad AIML community. Role responsibilities include: • Lead the design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized retrieval and ranking systems. • Use advanced and state-of-the-art NLP, deep learning and LLM techniques to understand and match complex queries with relevant content. • Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics. • Collaborate with cross-functional teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction. • Work continuously on improving the metrics and performance of models the team has launched in production by leverage innovative ML techniques.
Locations
- Santa Clara, California, United States 95050
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 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 learning algorithmsintermediate
- large language modelsintermediate
- retrieval techniquesintermediate
- ranking techniquesintermediate
- data miningintermediate
- data-driven analytical skillsintermediate
- NLPintermediate
- deep learningintermediate
- LLM techniquesintermediate
- design of algorithms and modelsintermediate
- implementation of algorithms and modelsintermediate
- evaluation of algorithms and modelsintermediate
- personalized retrieval and ranking systemsintermediate
- analyze loss patternsintermediate
- collaborate with cross-functional teamsintermediate
- innovative ML techniquesintermediate
Required Qualifications
- 3+ years Experience in Machine Learning, NLP, Large Language Models and applying (experience, 3 years)
- these techniques at scale (experience)
- Strong software engineering skills in mainstream programming languages, such as: (experience)
- Python, Go, C/C++ (experience)
- Strong communication skills (experience)
- Bachelors in Computer Science and industry work experience (experience)
Preferred Qualifications
- Knowledge and expertise in Information Retrieval, Ranking or Recommendation Systems (experience)
- Experience in building production quality systems or applications in search, recommendation systems, or information retrieval (experience)
- Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.) (experience)
- Ability to quickly prototype ideas / solutions, and perform critical analysis (experience)
- Background in personalization, user behavior modeling, and data-driven decision-making (experience)
- Advance degree (Master’s or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience (experience)
Responsibilities
- This role will have the chance to create and evaluate new retrieval and ranking algorithms, models and methods that will impact Apple and the broad AIML community. Role responsibilities include:
- • Lead the design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized retrieval and ranking systems.
- • Use advanced and state-of-the-art NLP, deep learning and LLM techniques to understand and match complex queries with relevant content.
- • Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics.
- • Collaborate with cross-functional teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction.
- • Work continuously on improving the metrics and performance of models the team
- has launched in production by leverage innovative ML techniques.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Machine Learning Engineer, Retrieval and Ranking Quality Siri & Information Intelligence @ Apple.
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~2 Minutes
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AIML - Machine Learning Engineer, Retrieval and Ranking Quality Siri & Information Intelligence
Apple
AIML - Machine Learning Engineer, Retrieval and Ranking Quality Siri & Information Intelligence
Job Description
We are looking for a Senior Machine Learning engineering with a passion for using machine learning to create intelligent and personalized search applications. Our team researches and implements novel retrieval and ranking techniques, machine learning algorithms and large language models that power amazing Search experiences across Apple products. We are looking for an ambitious engineer to join our ML group. This role will have the opportunity to initiate and deliver exciting projects to further shape the state of retrieval and ranking quality at Apple. As a Senior Machine Learning engineer, you will use innovative data mining, machine learning and data-driven analytical skills to solve challenging technical problems and ship novel products that will delight millions of people! This role will have the chance to create and evaluate new retrieval and ranking algorithms, models and methods that will impact Apple and the broad AIML community. Role responsibilities include: • Lead the design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized retrieval and ranking systems. • Use advanced and state-of-the-art NLP, deep learning and LLM techniques to understand and match complex queries with relevant content. • Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics. • Collaborate with cross-functional teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction. • Work continuously on improving the metrics and performance of models the team has launched in production by leverage innovative ML techniques.
Locations
- Santa Clara, California, United States 95050
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 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 learning algorithmsintermediate
- large language modelsintermediate
- retrieval techniquesintermediate
- ranking techniquesintermediate
- data miningintermediate
- data-driven analytical skillsintermediate
- NLPintermediate
- deep learningintermediate
- LLM techniquesintermediate
- design of algorithms and modelsintermediate
- implementation of algorithms and modelsintermediate
- evaluation of algorithms and modelsintermediate
- personalized retrieval and ranking systemsintermediate
- analyze loss patternsintermediate
- collaborate with cross-functional teamsintermediate
- innovative ML techniquesintermediate
Required Qualifications
- 3+ years Experience in Machine Learning, NLP, Large Language Models and applying (experience, 3 years)
- these techniques at scale (experience)
- Strong software engineering skills in mainstream programming languages, such as: (experience)
- Python, Go, C/C++ (experience)
- Strong communication skills (experience)
- Bachelors in Computer Science and industry work experience (experience)
Preferred Qualifications
- Knowledge and expertise in Information Retrieval, Ranking or Recommendation Systems (experience)
- Experience in building production quality systems or applications in search, recommendation systems, or information retrieval (experience)
- Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.) (experience)
- Ability to quickly prototype ideas / solutions, and perform critical analysis (experience)
- Background in personalization, user behavior modeling, and data-driven decision-making (experience)
- Advance degree (Master’s or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience (experience)
Responsibilities
- This role will have the chance to create and evaluate new retrieval and ranking algorithms, models and methods that will impact Apple and the broad AIML community. Role responsibilities include:
- • Lead the design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized retrieval and ranking systems.
- • Use advanced and state-of-the-art NLP, deep learning and LLM techniques to understand and match complex queries with relevant content.
- • Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics.
- • Collaborate with cross-functional teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction.
- • Work continuously on improving the metrics and performance of models the team
- has launched in production by leverage innovative ML techniques.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Machine Learning Engineer, Retrieval and Ranking Quality Siri & Information Intelligence @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs