Machine Learning Research Engineer Large Language Models (LLMs), Siri Core Modeling
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Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
As a Machine Learning Research Engineer you will help with initiatives to significantly advance Siris natural language understanding and planning capabilities using innovative LLM CORE RESPONSIBILITIES WILL INCLUDE: Developing innovative systems for synthetic training data generation and implementing strategies for the continuous optimization of model performance. Designing and implementing agentic workflows and RAG systems to enhance Siris capabilities. Optimizing model performance for tool calling and reasoning tasks. Actively staying at the forefront of academic and industry research in LLMs NLP and agentic systems and translating novel insights into practical solutions. Collaborating closely with a multidisciplinary team of researchers software engineers and product designers to seamlessly integrate AI innovations into the Siri user experience.
- Advanced degree (MSc/PhD) in Machine Learning Computer Science or a related quantitative field; or BSc with 2 years of relevant industry experience
- Hands on experience in machine learning engineering outside of research
- Strong Python proficiency including development debugging and design coupled with extensive experience using ML frameworks (e.g. PyTorch Jax HuggingFace)
- Excellent problem-solving critical thinking and interpersonal skills with a collaborative attitude
- Proven hands-on experience in machine learning engineering for large-scale models with a strong focus on generative AI LLMs Retrieval Augmented Generation (RAG) or agentic systems
- Applying LLMs for synthetic data generation (e.g. for knowledge distillation) or applying reinforcement learning for post-training or fine-tuning of LLMs.
- A successful track record of building and deploying end-to-end ML data pipelines (data preparation storage training and inference) in cloud or on-premise environments.
- Experience with training fine-tuning and deploying LLMs in production environments.
- Proficiency in evaluating LLMs for specific product tasks and performance metrics.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
