Finding the best job has never been easier
Aiml - Ml Researcher Foundation Models Responsible Ai jobs at Apple
Advance your career in high tech with Expoint. Discover job opportunities as a Aiml - Ml Researcher Foundation Models Responsible Ai and join top companies in the industry such as Apple. Sign up today and take control of your future.
Company (1)
Job type
Job categories
Job title (1)
United States
State
City
1,029 jobs found
09.09.2025
A
Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
Share
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...
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.
Show more
These jobs might be a good fit
09.09.2025
A
Apple AIML - Sr Engineering Program Manager Cloud Infrastructure United States, West Virginia
Share
10+ years of Product and/or Program management with experience covering as many of the following as possible: search engine infrastructure, internet services, distributed computing, a large-scale & international user base,...
Description:
- Work closely with Engineering, Finance, Procurement, and Release teams in support of projects to scale cloud infrastructure and ensure maximum availability of public-facing services including specifications, scope, requirements, timelines, and resource allocation.- Gather requirements and define qualification plans for new infrastructure build-outs and services.- Provide timely updates for all project milestones; both org-level updates and exec-level status.
- 10+ years of Product and/or Program management with experience covering as many of the following as possible: search engine infrastructure, internet services, distributed computing, a large-scale & international user base, a product with external dependencies (e.g. partner data feeds), and responsibility for rapid-response actions.
- Strong technical experience with cloud infrastructure, large scale systems, Linux/server operating systems running on containers, big data, and networking. Bonus points for past Engineering experience.
- Career examples of hands-on involvement in delivering operational frameworks, tools, and processes that improved the customer experience.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure.
- Outstanding communication and presentation skills, written and verbal, to all levels of an organization. High operational precision and attention to detail.
- Innate drive to improve how things work, with proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.
- BS/MS in EE/CS/CE or similar field
- BS/MS EE/CS/CE or equivalent
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
09.09.2025
A
Apple ML Engineer - Evaluation Automation Siri AI Quality Engineer... United States, West Virginia
Share
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...
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.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Software Engineer Data Ai & Platforms United States, West Virginia
Share
Experience building enterprise-level data applications on distributed systems. Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query. Programming experience in building high-quality software...
Description:
We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure. This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform. This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.
- Experience building enterprise-level data applications on distributed systems
- Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
- Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
- Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
- Familiarity with foundational concepts in Generative AI (e.g., Large Language Models, prompt engineering)
- Bachelor's degree in Computer Science or equivalent experience
- Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
- Experience in cloud data warehousing platforms like Snowflake is highly valued
- Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
- Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
- Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of GenIA , basic ML models in the area of anomaly detection, forecasting)
Bachelor's degree in Computer Science or equivalent experience
Show more
These jobs might be a good fit
09.09.2025
A
Apple AIML - Machine Learning Engineer Foundation Models United States, West Virginia
Share
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...
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.
Show more
These jobs might be a good fit
09.09.2025
A
Apple AIML - ML Researcher Foundation Models United States, West Virginia
Share
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...
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.
Show more
These jobs might be a good fit
09.09.2025
A
Apple AIML Data Operations Annotation Analyst - Austrian German Mo... United States, West Virginia
Share
Austrian German reading, writing, and comprehension skills to support the language specific market. Fluency in English reading, writing and comprehension skills to partner with international teams. Excellent active listening skills...
Description:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements.This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
- Austrian German reading, writing, and comprehension skills to support the language specific market
- Fluency in English reading, writing and comprehension skills to partner with international teams
- Excellent active listening skills with the ability to understand verbal nuances
- Understanding of the local region and cultural variations
- Demonstrates integrity and focuses on customer privacy
- Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
- Highly organized with strong attention to detail
- Ability to independently navigate systems and tools
- Experience in content review or a similar environment, prior testing experience preferred
- Demonstrates flexibility and adaptability to changing work-flows and responsibilities
- Grows with a team where expertise is shared and feedback is welcomed
- Excels at working independently to make timely decisions and take appropriate actions
- Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
- Successfully meets or exceeds targets, working within tight deadlines
- Ability to identify business process solutions that increase efficiencies
- Ability to maintain focus and aim for high results through large volumes of tasks
- Ability to work on safety data which could include offensive material
- Thrives in repetitive work and ambiguous scenarios
- Bachelor’s degree or equivalent job-related experience
Show more
These jobs might be a good fit
Share
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...
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.
Show more
These jobs might be a good fit
Discover your dream career in the high tech industry with Expoint. Our platform offers a wide range of Aiml - Ml Researcher Foundation Models Responsible Ai jobs opportunities, giving you access to the best companies in the field, like Apple. With our easy-to-use search engine, you can quickly find the right job for you and connect with top companies. No more endless scrolling through countless job boards, with Expoint you can focus on finding your perfect match. Sign up today and follow your dreams in the high tech industry with Expoint.