AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)
Apple
AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)
Job Description
A key part of the Apple mission is to empower our users to access world knowledge and answer their questions intelligently. A universal search engine constitutes the backbone of this effort, powering consistent experiences across product surfaces such as Siri, Safari, Spotlight, App Store, Apple Music etc. The Query Resolution team plays a central role in this endeavor, residing at the intersection of ML, search and speech technologies. The services we own and build are pivotal towards auto-completing user queries, providing query suggestions and correcting spelling / speech recognition errors, especially for Siri! As part of our team, you will use innovative techniques (including but not restricted to LLMs) to resolve exciting problems across query correction and recommendation. We are looking for Machine Learning engineer with deep expertise across one or more areas spanning search, ranking, ML modeling and ML inference. You will join a dynamic team that blends together strong technical skills, proactive collaboration, insightful product vision, and deliver an extraordinary search platform! Upon joining our team, you’ll have the exceptional opportunity to use innovative techniques to create significant impact for hundreds of millions of users. We are looking for strong teammates with rich experience across machine learning and search engineering. This role will entail the following responsibilities: - Understand product requirements and transform broad, open-ended requirements into concrete, well-defined engineering problems - Architect ML / search systems through their lifecycle: spanning across opportunity analysis, brainstorming, system design, project planning, implementation, integration, evaluation, hill climbing and launching to production - Employ powerful techniques across ranking, recommendations, large language models (LLMs) and reinforcement learning towards creating user impact - Smooth multi-functional collaboration across a variety of audiences; mentorship for team members
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 engineeringintermediate
- expertise in searchintermediate
- expertise in rankingintermediate
- ML modelingintermediate
- ML inferenceintermediate
- innovative techniquesintermediate
- large language models (LLMs)intermediate
- reinforcement learningintermediate
- query correctionintermediate
- query recommendationintermediate
- system designintermediate
- project planningintermediate
- implementationintermediate
- integrationintermediate
- evaluationintermediate
- hill climbingintermediate
- launching to productionintermediate
- proactive collaborationintermediate
- insightful product visionintermediate
- mentorshipintermediate
- multi-functional collaborationintermediate
- understanding product requirementsintermediate
- transforming requirements into engineering problemsintermediate
- opportunity analysisintermediate
- brainstormingintermediate
Required Qualifications
- Bachelors degree in Computer Science or a related field (degree in computer science or a related field)
- 4+ years of experience in search, ranking, recommendation systems, natural language processing, deep learning, embedding techniques or LLMs (experience, 4 years)
- You are comfortable with both ML fundamentals and driving the ML lifecycle from inception to launch (experience)
- You are proficient in at least one of following languages: Python, Go, C++ (experience)
Preferred Qualifications
- MS or PhD in Computer Science or a related field (degree in phd in computer science or a related field)
- Experience with large-scale distributed search / machine learning systems is a plus (experience)
- You possess excellent collaborative skills — the ability to work smoothly within a team while yet being able to deliver impact individually (experience)
Responsibilities
- Upon joining our team, you’ll have the exceptional opportunity to use innovative techniques to create significant impact for hundreds of millions of users. We are looking for strong teammates with rich experience across machine learning and search engineering.
- This role will entail the following responsibilities:
- - Understand product requirements and transform broad, open-ended requirements into concrete, well-defined engineering problems
- - Architect ML / search systems through their lifecycle: spanning across opportunity analysis, brainstorming, system design, project planning, implementation, integration, evaluation, hill climbing and launching to production
- - Employ powerful techniques across ranking, recommendations, large language models (LLMs) and reinforcement learning towards creating user impact
- - Smooth multi-functional collaboration across a variety of audiences; mentorship for team members
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI) @ Apple.
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AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)
Apple
AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)
Job Description
A key part of the Apple mission is to empower our users to access world knowledge and answer their questions intelligently. A universal search engine constitutes the backbone of this effort, powering consistent experiences across product surfaces such as Siri, Safari, Spotlight, App Store, Apple Music etc. The Query Resolution team plays a central role in this endeavor, residing at the intersection of ML, search and speech technologies. The services we own and build are pivotal towards auto-completing user queries, providing query suggestions and correcting spelling / speech recognition errors, especially for Siri! As part of our team, you will use innovative techniques (including but not restricted to LLMs) to resolve exciting problems across query correction and recommendation. We are looking for Machine Learning engineer with deep expertise across one or more areas spanning search, ranking, ML modeling and ML inference. You will join a dynamic team that blends together strong technical skills, proactive collaboration, insightful product vision, and deliver an extraordinary search platform! Upon joining our team, you’ll have the exceptional opportunity to use innovative techniques to create significant impact for hundreds of millions of users. We are looking for strong teammates with rich experience across machine learning and search engineering. This role will entail the following responsibilities: - Understand product requirements and transform broad, open-ended requirements into concrete, well-defined engineering problems - Architect ML / search systems through their lifecycle: spanning across opportunity analysis, brainstorming, system design, project planning, implementation, integration, evaluation, hill climbing and launching to production - Employ powerful techniques across ranking, recommendations, large language models (LLMs) and reinforcement learning towards creating user impact - Smooth multi-functional collaboration across a variety of audiences; mentorship for team members
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 engineeringintermediate
- expertise in searchintermediate
- expertise in rankingintermediate
- ML modelingintermediate
- ML inferenceintermediate
- innovative techniquesintermediate
- large language models (LLMs)intermediate
- reinforcement learningintermediate
- query correctionintermediate
- query recommendationintermediate
- system designintermediate
- project planningintermediate
- implementationintermediate
- integrationintermediate
- evaluationintermediate
- hill climbingintermediate
- launching to productionintermediate
- proactive collaborationintermediate
- insightful product visionintermediate
- mentorshipintermediate
- multi-functional collaborationintermediate
- understanding product requirementsintermediate
- transforming requirements into engineering problemsintermediate
- opportunity analysisintermediate
- brainstormingintermediate
Required Qualifications
- Bachelors degree in Computer Science or a related field (degree in computer science or a related field)
- 4+ years of experience in search, ranking, recommendation systems, natural language processing, deep learning, embedding techniques or LLMs (experience, 4 years)
- You are comfortable with both ML fundamentals and driving the ML lifecycle from inception to launch (experience)
- You are proficient in at least one of following languages: Python, Go, C++ (experience)
Preferred Qualifications
- MS or PhD in Computer Science or a related field (degree in phd in computer science or a related field)
- Experience with large-scale distributed search / machine learning systems is a plus (experience)
- You possess excellent collaborative skills — the ability to work smoothly within a team while yet being able to deliver impact individually (experience)
Responsibilities
- Upon joining our team, you’ll have the exceptional opportunity to use innovative techniques to create significant impact for hundreds of millions of users. We are looking for strong teammates with rich experience across machine learning and search engineering.
- This role will entail the following responsibilities:
- - Understand product requirements and transform broad, open-ended requirements into concrete, well-defined engineering problems
- - Architect ML / search systems through their lifecycle: spanning across opportunity analysis, brainstorming, system design, project planning, implementation, integration, evaluation, hill climbing and launching to production
- - Employ powerful techniques across ranking, recommendations, large language models (LLMs) and reinforcement learning towards creating user impact
- - Smooth multi-functional collaboration across a variety of audiences; mentorship for team members
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI) @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs