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Us-manager jobs at Apple in United States, Sugar Land
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United States
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Sugar Land
2 jobs found
25.08.2025
A
Apple US-Manager United States, Texas, Sugar Land
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You should:. Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled,...
Description:
Perform other tasks as needed.
- You should:
- Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled, in line with local laws and subject to any approved accommodations.
- Be proficient in written and spoken English (sign language supported).
- Have experience leading others in retail, sales, or a related field.
- You can:
- Exceed goals successfully, and persist in accomplishing objectives despite obstacles and setbacks.
- Follow through on commitments and establish mechanisms to encourage others to do the same.
- Instill trust within the team and operate with a high level of integrity.
- Make timely and sound decisions by asking questions and using analytics, experience, and judgment.
- Communicate with excellence, and tailor your communication style to different audiences.
- Develop others through mentorship, coaching, and effective feedback.
- Provide support and guide others through challenges while remaining calm in a fast-paced and constantly changing retail environment.
- Resolve conflict and settle differences in productive ways.
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04.08.2025
A
Apple US-Manager United States, Texas, Sugar Land
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10+ years of ML experiences in search, natural language processing/understanding. Conversational AI. Proven experience for LLM post training, including but not limited to SFT, RLHF, RLAIF, Reward Modeling, Chain-of-thought, agentic...
Description:
As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications.
In this role, you will work on LLM based question answering and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. Your core responsibilities will include:* Designing and developing advanced Reinforcement Learning technologies in the post-training of generative model, and delivering the end-user experience.* Driving cross-functional technical initiatives, collaborating with research, engineering and production teams to translate theoretical advances into deployable systems.* Developing novel and cutting-edge RL algorithms and improving existing ones.* Staying up to date with the latest RL research and integrate best practices into the team's workflow.* Working on the end-to-end ML lifecycle: algorithm design and implementation, data collection, model training, evaluation, and deployment.
- 10+ years of ML experiences in search, natural language processing/understanding. Conversational AI.
- Proven experience for LLM post training, including but not limited to SFT, RLHF, RLAIF, Reward Modeling, Chain-of-thought, agentic LLM.
- Hands-on experience building RL pipelines and training agents in simulation or real-world environments.
- Growth mindset and ability to learn new technologies
- MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field
- Deep expertise in reinforcement learning-based post-training on LLM models, reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D.
- Deep understanding of cutting edge RL algorithms and large language model.
- Deep understanding in LLM pre-training, post-training.
- Strong product intuition and ownership
- Excellent communication 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
You should:. Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled,...
Description:
Perform other tasks as needed.
- You should:
- Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled, in line with local laws and subject to any approved accommodations.
- Be proficient in written and spoken English (sign language supported).
- Have experience leading others in retail, sales, or a related field.
- You can:
- Exceed goals successfully, and persist in accomplishing objectives despite obstacles and setbacks.
- Follow through on commitments and establish mechanisms to encourage others to do the same.
- Instill trust within the team and operate with a high level of integrity.
- Make timely and sound decisions by asking questions and using analytics, experience, and judgment.
- Communicate with excellence, and tailor your communication style to different audiences.
- Develop others through mentorship, coaching, and effective feedback.
- Provide support and guide others through challenges while remaining calm in a fast-paced and constantly changing retail environment.
- Resolve conflict and settle differences in productive ways.
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 Us-manager opportunities at Apple in United States, Sugar Land. 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.