Machine Learning Research Engineer (Computer Vision), SIML - ISE
Apple
Machine Learning Research Engineer (Computer Vision), SIML - ISE
Job Description
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence Machine Learning (SIML) organization is looking for a Machine Learning Research Engineer with a strong foundation in Machine Learning and Computer Vision to develop next generation multi-modal human sensing technologies. We work at the core of Apple Intelligence across modalities such as vision, language, gesture, gaze, touch, etc. to enable highly intuitive and personalized intelligence experiences across the Apple ecosystem. You will be part of a fast-paced, impact-driven Applied Research organization working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms, including Apple Intelligence, Camera, Photos, Visual Intelligence, and more. Come join the team building the next generation of Apple Intelligence! SELECTED REFERENCES TO OUR TEAM’S WORK: https://www.youtube.com/watch?v=GGMhQkHCjxo&t=255s https://support.apple.com/guide/iphone/use-visual-intelligence-iph12eb1545e/ios This role requires experience in vision-language models, and ability to fine-tune/adapt/distill multi-modal LLMs. As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with expert researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user-facing features across billions of devices.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 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
- Computer Visionintermediate
- vision-language modelsintermediate
- fine-tune multi-modal LLMsintermediate
- adapt multi-modal LLMsintermediate
- distill multi-modal LLMsintermediate
- design models and algorithmsintermediate
- multimodal perceptionintermediate
- multimodal reasoningintermediate
- Vision-Language Models (VLMs)intermediate
- Multimodal Large Language Models (MLLMs)intermediate
- evaluate performanceintermediate
- translate product needs into ML solutionsintermediate
- collaboration with researchers and engineersintermediate
- explore new techniquesintermediate
Required Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field; or relevant proven experience (experience)
- Proficiency in Python and deep learning frameworks such as PyTorch (experience)
- Practical experience with training and evaluating neural networks (experience)
- Familiarity with multimodal learning, vision-language models, or large language models (experience)
- Strong problem solving skills and ability to work in a collaborative, product-focused environment (experience)
- Ability to communicate technical results clearly and concisely (experience)
Preferred Qualifications
- Proven track record of research contributions demonstrated through publications in top-tier conferences and journals (experience)
- Background in multi-modal reasoning, VLM, and MLLM research with impactful software projects (experience)
- Solid understanding of natural language processing (NLP) and computer vision fundamentals (experience)
Responsibilities
- This role requires experience in vision-language models, and ability to fine-tune/adapt/distill multi-modal LLMs. As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with expert researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user-facing features across billions of devices.
- Contribute to the development and adaptation of AI/ML models for multimodal perception and reasoning
- Innovate robust algorithms that integrate visual and language data for comprehensive understanding
- Collaborate closely with multi-functional teams to translate product requirements into effective ML solutions.
- Conduct hands-on experimentation, model training, and performance analysis
- Communicate research outcomes effectively to technical and non-technical stakeholders, providing actionable insights
- Stay current with emerging methods in VLMs, MLLMs, and related areas
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Research Engineer (Computer Vision), SIML - ISE @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Machine Learning Research Engineer (Computer Vision), SIML - ISE
Apple
Machine Learning Research Engineer (Computer Vision), SIML - ISE
Job Description
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence Machine Learning (SIML) organization is looking for a Machine Learning Research Engineer with a strong foundation in Machine Learning and Computer Vision to develop next generation multi-modal human sensing technologies. We work at the core of Apple Intelligence across modalities such as vision, language, gesture, gaze, touch, etc. to enable highly intuitive and personalized intelligence experiences across the Apple ecosystem. You will be part of a fast-paced, impact-driven Applied Research organization working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms, including Apple Intelligence, Camera, Photos, Visual Intelligence, and more. Come join the team building the next generation of Apple Intelligence! SELECTED REFERENCES TO OUR TEAM’S WORK: https://www.youtube.com/watch?v=GGMhQkHCjxo&t=255s https://support.apple.com/guide/iphone/use-visual-intelligence-iph12eb1545e/ios This role requires experience in vision-language models, and ability to fine-tune/adapt/distill multi-modal LLMs. As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with expert researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user-facing features across billions of devices.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 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
- Computer Visionintermediate
- vision-language modelsintermediate
- fine-tune multi-modal LLMsintermediate
- adapt multi-modal LLMsintermediate
- distill multi-modal LLMsintermediate
- design models and algorithmsintermediate
- multimodal perceptionintermediate
- multimodal reasoningintermediate
- Vision-Language Models (VLMs)intermediate
- Multimodal Large Language Models (MLLMs)intermediate
- evaluate performanceintermediate
- translate product needs into ML solutionsintermediate
- collaboration with researchers and engineersintermediate
- explore new techniquesintermediate
Required Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field; or relevant proven experience (experience)
- Proficiency in Python and deep learning frameworks such as PyTorch (experience)
- Practical experience with training and evaluating neural networks (experience)
- Familiarity with multimodal learning, vision-language models, or large language models (experience)
- Strong problem solving skills and ability to work in a collaborative, product-focused environment (experience)
- Ability to communicate technical results clearly and concisely (experience)
Preferred Qualifications
- Proven track record of research contributions demonstrated through publications in top-tier conferences and journals (experience)
- Background in multi-modal reasoning, VLM, and MLLM research with impactful software projects (experience)
- Solid understanding of natural language processing (NLP) and computer vision fundamentals (experience)
Responsibilities
- This role requires experience in vision-language models, and ability to fine-tune/adapt/distill multi-modal LLMs. As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with expert researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user-facing features across billions of devices.
- Contribute to the development and adaptation of AI/ML models for multimodal perception and reasoning
- Innovate robust algorithms that integrate visual and language data for comprehensive understanding
- Collaborate closely with multi-functional teams to translate product requirements into effective ML solutions.
- Conduct hands-on experimentation, model training, and performance analysis
- Communicate research outcomes effectively to technical and non-technical stakeholders, providing actionable insights
- Stay current with emerging methods in VLMs, MLLMs, and related areas
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Research Engineer (Computer Vision), SIML - ISE @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs