Finding the best job has never been easier
Ml Researcher - Multimodal Llm jobs at Apple in United States, Sunnyvale
Discover your perfect match with Expoint. Search for job opportunities as a Ml Researcher - Multimodal Llm in United States, Sunnyvale and join the network of leading companies in the high tech industry, like Apple. Sign up now and find your dream job with Expoint
Company (1)
Job type
Job categories
Job title (1)
United States
State
Sunnyvale
42 jobs found
26.08.2025
A
Apple Embedded Signal Processing ML Algorithms Engineer United States, California, Sunnyvale
Share
BS and a minimum of 3 years relevant industry experience. Programming skills in C/C++ and Python. Experience with embedded systems or resource constraint environments for algorithm implementation. MS (Phd preferred)...
Description:
We are looking for a Algorithms engineer who can write efficient and scalable C / C++ code to perform signal processing in multiple compute environments. You will work with other algorithm engineers to analyze and validate algorithm prototypes. You will then architect and code the algorithm implementation, often targeting embedded or resource-constrained systems. You will work with system and firmware engineers to integrate your code into the product, but will take special responsibility for the algorithm implementation. You will also help us architect, develop, and optimize data processing and machine learning frameworks.This is a role where you will design, develop, and support high quality, scalable algorithm implementations and data processing pipelines that enable rapid algorithm development, analysis, and implementation for Apple products.
- BS and a minimum of 3 years relevant industry experience.
- Programming skills in C/C++ and Python.
- Experience with embedded systems or resource constraint environments for algorithm implementation.
- MS (Phd preferred) with 2+ years of experience in developing, optimizing and implementing complex algorithms.
- Experience with object-oriented programming and common design patterns.
- Optimizing and implementing complex algorithms on resource constrained platforms with a background in numerical methods and techniques, especially as relates to stability in real-time DSP algorithms.
- Knowledge of fundamental DSP concepts such as Adaptive filtering, linear algebra, machine learning or statistics.
- Excellent communication, presentation, and documentation skills.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
25.08.2025
A
Apple Channel Service Planner - AppleCare AI/ML experience United States, California, Sunnyvale
Share
5+ years of experience in channel planning, demand forecasting, inventory management, supply chain management, computer science or data science. Possess a strong understanding of AI/ML applications and able to design/develop...
Description:
- 5+ years of experience in channel planning, demand forecasting, inventory management, supply chain management, computer science or data science
- Possess a strong understanding of AI/ML applications and able to design/develop machine learning models
- Solid understanding of world-class supply chain practices, strong analytical capabilities, strong leadership skills, and business savvy.
- Effective in communication, influencing, and negotiation in a matrix organization including one-on-one, small and large groups, and with peers and executives.
- Ability to both think strategically and implement tactically, a persistent attention to details, a high level of comfort in running large data sets and conducting ad hoc analysis, skills for blending quantitative and qualitative data.
- Experience with cross-functional collaboration to achieve outstanding customer service in a complex and fast-paced environment.
- Consistent track record in delivering on operational KPI’s while leading projects and initiatives. Sense of priority and urgency to meet deadlines from different partners,
- High proficiency in Excel and ability to learn technical applications quickly.
- BA/BS or equivalent experience.
- 7+ years of experience in channel planning, demand forecasting, inventory management, supply chain management, computer science or data science
- Master’s degree in a related field.
- Experience in Reporting tools such as Business Objects, Tableau or similar tools.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
25.08.2025
A
Apple Software Engineer AI/ML Ai & Data Platforms United States, California, Sunnyvale
Share
BS in Computer Science or related field or equivalent. 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management. Experience...
Description:
As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.
- BS in Computer Science or related field or equivalent.
- 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.
- Experience developing AI/ML systems at scale in production or in high-impact research environments.
- Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems.
- Knowledge with the common frameworks and tools such as PyPorch or TensorFlow.
- Experience in Anomaly detection and forecasting & related methodologies
- Experience and proficiency in python & writing efficient SQLs.
- Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
- Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus
- Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
25.08.2025
A
Apple Applied Research Engineer - Multimodal LLMs Human Interactio... United States, California, Sunnyvale
Share
Experience in developing, training/tuning foundation models and multimodal LLMs. Programming skills in Python. Master of Science and a minimum of 2 years of relevant industry experience. PhD in Computer Science,...
Description:
You will:- Conduct research and development on multimodal large language models, focusing on exploring and utilizing diverse data modalities. - Design, implement, and evaluate algorithms and models to enhance the performance and capabilities of our AI systems.
- Experience in developing, training/tuning foundation models and multimodal LLMs.
- Programming skills in Python.
- Master of Science and a minimum of 2 years of relevant industry experience.
- PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, or computer vision.
- Expertise in one or more of: computer vision, NLP, multimodal fusion, Generative AI, Self-Supervised Learning, Reinforcement Learning, Agentic AI.
- Experience with at least one deep learning framework such as PyTorch, JAX, or similar.
- Publication record in relevant venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
- Experience in leading ML initiatives and a proven record of shipping products.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
25.08.2025
A
Apple CAD Automation ML Engineer United States, California, Sunnyvale
Share
Experience in Python programming. Experience in programming algorithms. Minimum requirement of BS and 10+ years of relevant industry experience. Experience in writing machine learning algorithms, implementing natural language processing (NLP),...
Description:
We seek an engineer with a passion for hardware and strong programming and collaboration skills. You will gain hands-on experience in applying machine learning to circuit design automation and the reuse of custom intellectual property (IP). You will develop innovative pipelines to enable design engineers to efficiently drive and interact with their transistor-level analysis workflows, delivering diverse IPs to our numerous cutting-edge integrated circuits (ICs) in development.
In this highly visible role, your primary responsibilities will include:•Developing innovative ML and large language model applications to understand, explain, and interact with advanced circuit design software systems. Designing and implementing their interaction with our extensive compute infrastructure.•Identifying opportunities for optimizing, expediting, and reusing the delivery of hardware IP assets.•Actively involving yourself in supporting various ML and large language model development processes, including understanding input data, troubleshooting output, resolving software challenges that may impact project timelines, and delivering solutions to our internal customers.•Closely collaborating with diverse design teams, including Custom Digital, Analog, Mixed-Signal, and more, to understand their needs and requirements for various ML and large language model applications. Applying advanced techniques to address these requirements across multiple products and reduce duplicate design work. •Working in tandem with other experts in CAD to validate their ML-based applications, implement enhancements, and evaluate external vendor packages and solutions from EDA (Electronic Design Automation) providers and open-source.
- Experience in Python programming
- Experience in programming algorithms
- Minimum requirement of BS and 10+ years of relevant industry experience.
- Experience in writing machine learning algorithms, implementing natural language processing (NLP), or using large language models in industry applications
- Experience in object-oriented programming, data structures, algorithms, and machine learning
- Knowledge of transistor-level electrical engineering and related software tools for circuit analysis, such as simulation, timing, EM/IR, layout, extraction, or power analysis
- Day-to-day experience working with the UNIX shell environment and code revision control systems
- Experience leading industry software development projects
- Experience in electrical engineering machine learning applications
- Experience with large language models, including fine-tuning, retrieval augmented generation, and prompt engineering
- Experience with server management, and parallel computing platforms such as LSF, NC, AWS, etc.
- Experience creating web technologies using React, REST APIs, and equivalent
- Excellent communication and presentation skills
- Commitment to excellence and productivity
- Experience in development of large scale software systems in multi-user, multi-site environments
- Ability to drive small software development team to develop novel and complex applications
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
25.08.2025
A
Apple Machine Learning Engineer - Multimodal Foundation Models United States, California, Sunnyvale
Share
BS and a minimum of 3 years relevant industry experience. Solid programming skills with Python. Familiarity with deep learning toolkits. Familiar with challenges associated with training large models and working...
Description:
This position requires a highly motivated person who wants to help us advance the field of Generative AI and multi-modal foundation models. You will be responsible for designing, implementing, evaluating foundation models based on the latest advancements in the fields, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across apple to deliver the best products.
- BS and a minimum of 3 years relevant industry experience.
- Solid programming skills with Python
- Familiarity with deep learning toolkits
- Familiar with challenges associated with training large models and working with large data
- PhD in Computer Science, Computer Vision, Computer Graphics, Machine Learning or equivalent.
- Strong academic and publication record (CVPR, ICCV/ECCV, NeurIPS, ICML, etc)
- Deep understanding of large foundation models
- Deep understanding of multi-task, multi-modal machine learning domain
- Ability to communicate the results of analyses in a clear and effective manner
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
25.08.2025
A
Apple Applied Researcher Computational Biomechanics United States, California, Sunnyvale
Share
2+ years relevant work experience. Bachelors degree in Mechanical Engineering, Applied Mechanics or similar engineering field. Experience conducting research. Expertise in finite element analysis (FEA) of biological systems. Attention to...
Description:
Success in this position demands creativity, organization, and willingness to listen, learn, and comprehend the requirements of your models and simulations. You’ll collaborate closely with user study researchers to create, validate, and apply innovative biomechanical models to the design of wearable products. A solid grasp of modeling and simulation principles, coupled with extensive experience in biological tissue and product applications, is essential. The models and simulations must strike a balance between making assumptions to drive an efficient design process, with attention to detail to deliver insight with integrity.
As a member of the Applied Research and Characterization team, you’ll develop innovative modeling and simulation methods to provide design insights for wearable products. You’ll construct and implement human and product models for critical wearable load cases. Collaborating closely with other researchers, you’ll gather quantitative and qualitative information about the user experience. Furthermore, you’ll engage deeply with the design team to facilitate the integration of these novel methods into product strategy.
- 2+ years relevant work experience
- Bachelors degree in Mechanical Engineering, Applied Mechanics or similar engineering field
- Experience conducting research
- Expertise in finite element analysis (FEA) of biological systems
- Attention to detail and commitment to verification/validation
- Strong analytical and problem-solving skills
- Excellent technical communication and interpersonal skills
- Advanced degree (MS or PhD) in Mechanical Engineering, Applied Mechanics or similar engineering field
- Experience with a human subjects research field such as 3D medical imaging, soft tissue characterization, human factors testing, or sensory perception
- Experience with Abaqus FEA
- Experience in implicit and explicit FEA
- Experience with the mechanical behavior of materials and constitutive modeling
- Experience presenting to senior technical leadership
- Self motivated to drive research planning and scoping
- CAD
- Curiosity about wearables & human research
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
Share
BS and a minimum of 3 years relevant industry experience. Programming skills in C/C++ and Python. Experience with embedded systems or resource constraint environments for algorithm implementation. MS (Phd preferred)...
Description:
We are looking for a Algorithms engineer who can write efficient and scalable C / C++ code to perform signal processing in multiple compute environments. You will work with other algorithm engineers to analyze and validate algorithm prototypes. You will then architect and code the algorithm implementation, often targeting embedded or resource-constrained systems. You will work with system and firmware engineers to integrate your code into the product, but will take special responsibility for the algorithm implementation. You will also help us architect, develop, and optimize data processing and machine learning frameworks.This is a role where you will design, develop, and support high quality, scalable algorithm implementations and data processing pipelines that enable rapid algorithm development, analysis, and implementation for Apple products.
- BS and a minimum of 3 years relevant industry experience.
- Programming skills in C/C++ and Python.
- Experience with embedded systems or resource constraint environments for algorithm implementation.
- MS (Phd preferred) with 2+ years of experience in developing, optimizing and implementing complex algorithms.
- Experience with object-oriented programming and common design patterns.
- Optimizing and implementing complex algorithms on resource constrained platforms with a background in numerical methods and techniques, especially as relates to stability in real-time DSP algorithms.
- Knowledge of fundamental DSP concepts such as Adaptive filtering, linear algebra, machine learning or statistics.
- Excellent communication, presentation, and documentation skills.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
Find your dream job in the high tech industry with Expoint. With our platform you can easily search for Ml Researcher - Multimodal Llm opportunities at Apple in United States, Sunnyvale. Whether you're seeking a new challenge or looking to work with a specific organization in a specific role, Expoint makes it easy to find your perfect job match. Connect with top companies in your desired area and advance your career in the high tech field. Sign up today and take the next step in your career journey with Expoint.