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Machine Learning Researcher Siri Speech jobs at Apple
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940 jobs found
09.09.2025
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Apple Machine Learning Engineer United States, West Virginia
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Description:
- Experience building machine learning models
- Familiarity with the model development lifecycle
- Familiarity with machine learning libraries and frameworks
- Experience writing machine learning applications and mission-critical code for production machine learning systems
- Experience building and scaling cloud-based architectures
- Experience building AI/ML tooling and/or infrastructure
- Experience working on distributed systems where scalability and performance are critical
- Prior experience in performance tuning & trouble-shooting
- Pride in building tools to automate routine tasks, organized & detailed
- Understanding of software engineering principles for maintainable code development
- Strong problem solving and debugging skills
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Results oriented with a desire to work in a fast-paced and collaborative work environment
- Prior experience in advertising industry is a huge plus
- Education & Experience
- PhD/MS/BS in Computer Science or related field with 7+ years of industry experience in building large-scale distributed software systems
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
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Description:
- 7+ years of coding skills
- Background in computer science: algorithms and data structures
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Proficient in designing, developing, and deploying high-performance, reliable, and scalable software solutions in production
- Excellent interpersonal skills able to work independently as well as in a team
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple Senior Speech Machine Learning Engineer United States, West Virginia
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Description:
In this role you will - Work with open source tools like PyTorch, Jax, Ray and others- Run data based ablation studies- Use open source or train models to extract signals from large volumes of speech data to drive modeling improvements
- Machine Learning background in speech and/or language/text/dialogue processing field
- Processing large, complex, unstructured data
- Speech understanding or generation model training
- Evaluation of multiple open source models
- M.S. or Ph.D. degree in Computer Science, or equivalent experience
- Knowledge of JAX, PyTorch
- Deep knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray)
- Strong software engineering abilities, ideally C++ and/or Java and/or Python
- Real passion for building research demo prototypes and turning them into production quality design/implementation
- Strong interpersonal skills to work well with engineering teams
- Excellent problem solving and critical thinking
- Ability to work in a fast-paced environment with rapidly changing priorities
- Passionate about building extraordinary products and experiences for our users
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple ML Engineer - Evaluation Automation Siri AI Quality Engineer... United States, West Virginia
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Description:
Apple has an extraordinary reputation for product quality. We are looking for a versatile Machine Learning Engineer with a strong background in Large Language Models (LLMs) to build the next generation ML evaluation frameworks and tools. In this role, you will use LLMs and other ML techniques to help automate large-scale data generation and evaluation job execution on server or on device, build LLM judges, detect anomalies, and streamline ML evaluation workflows. This is a high-impact role where you'll work at the intersection of AI/ML, conversational agents, information retrieval, software engineering, and ML evaluation, helping us push the boundaries of how AI can transform ML evaluation.
Design and develop machine learning and LLM-based solutions for ML model and system evaluation use cases such as: - Automatic large scale data generation - Automatic UI and Non UI test evaluation - Run evaluation jobs at scale - Build and optimize LLM judges - Intelligent log summarization and anomaly detection - Continuously evaluate and improve model performance through A/B testing, human feedback loops, and retraining- Monitor advances in LLMs and NLP and propose innovative applications within the ML evaluation domain
- 3+ years of proven ability in machine learning, including hands-on work with LLMs.
- Strong programming skills in Python and experience with ML/NLP libraries
- Experience building or fine-tuning LLMs for software engineering tasks
- Understanding of prompt engineering, and retrieval-augmented generation (RAG)
- Experience developing LLM based automated evaluation frameworks
- Excellent knowledge of software testing methodologies & practices
- Experience in Swift/XCTest/XCUITest is preferred
- Ability to thrive in a collaborative working environment within your team and beyond
- Ability to triage problems, prioritize accordingly, and propose resolutions
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple AIML - Machine Learning Engineer Foundation Models United States, West Virginia
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Description:
- Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
- Collaborate with other teams to productionize state-of-the-art AI algorithms
- Optimize models for performance, efficiency, and on-device intelligence
- Implement machine learning systems with stringent privacy and security requirements
- May also be required to manage a small team of engineers.
- MS or PhD in Computer Science, Machine Learning, or related technical field
- Expert-level programming skills in Python
- Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow
- Strong background in: Distributed training, Model optimization, and Machine learning infrastructure
- Experience with large-scale model training and deployment
- Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure)
- Distributed computing frameworks
- Experience with foundation models and large language models
- Background in multi-modal AI systems
- Demonstrated ability to transform research prototypes into production systems
- Published research or significant contributions to open-source ML projects
- Understanding of on-device machine learning techniques
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple AIML - ML Researcher Foundation Models United States, West Virginia
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Description:
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see you ideas not only published in papers, but also improve the experience of billions of users.
- Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
- Ability to work in a collaborative environment
- PhD, or equivalent practical experience, in Computer Science, or related technical field
- Web-scale information retrieval
- Human-like conversation agent
- Multi-modal perception for existing products and future hardware platforms
- On-device intelligence and learning with strong privacy protections
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple Speech Scientist / Engineer Interspeech United States, West Virginia
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Description:
- Strong machine learning background in speech and/or language/text/dialogue processing field
- In-depth hands-on experience in deep learning
- Strong software engineering abilities, ideally C++, Java, and/or Python
- Passion for building research demo prototypes and turning them into production quality design/implementation
- Experience with deep learning toolkits, e.g. Tensorflow, PyTorch
- Experience with speaker recognition and related technologies
- Curious about new technologies and passionate about exploring new use cases
PhD, MS, or BS in Machine Learning, Computer Science, or related fields.
Expand
Description:
- Experience building machine learning models
- Familiarity with the model development lifecycle
- Familiarity with machine learning libraries and frameworks
- Experience writing machine learning applications and mission-critical code for production machine learning systems
- Experience building and scaling cloud-based architectures
- Experience building AI/ML tooling and/or infrastructure
- Experience working on distributed systems where scalability and performance are critical
- Prior experience in performance tuning & trouble-shooting
- Pride in building tools to automate routine tasks, organized & detailed
- Understanding of software engineering principles for maintainable code development
- Strong problem solving and debugging skills
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Results oriented with a desire to work in a fast-paced and collaborative work environment
- Prior experience in advertising industry is a huge plus
- Education & Experience
- PhD/MS/BS in Computer Science or related field with 7+ years of industry experience in building large-scale distributed software systems
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
These jobs might be a good fit
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