> Markdown version of [/jobs/ext/4195604-machine-learning-engineer-answers-knowledge-and-information-proactive](https://www.wearedevelopers.com/jobs/ext/4195604-machine-learning-engineer-answers-knowledge-and-information-proactive). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer, Answers Knowledge and Information - Proactive

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Python (Programming Language), Machine Learning, Recommender Systems, Elearning, Tensorflow, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Prompt Engineering, Hallucination Detection, Deep Learning, Model Validation, Information Technology
- **Published:** October 24, 2026
- **Apply:** https://www.dice.com/job-detail/312d4ff7-f85a-4b63-bf7e-e5637d9dd1a2

## About the Role

Experience in modeling user behavior including personalization, online learning and recommendation systems

Experience working with machine learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation

Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX

Preferred Qualifications

PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas -- Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails

Consistent track record of researching, inventing and/or shipping advanced machine learning models

Outstanding communication and interpersonal skills with ability to work with cross-functional teams

## Description

As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models.