Emplois deep learning engineer (Zürich, ZH)
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Job Post Details
Machine Learning Engineer - job post
4.14.1/5 étoiles
Zürich, ZH
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Lieu
Zürich, ZH
Description du poste
Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Camera & Photos team develops privacy-respecting machine learning technologies to ship Apple Intelligence features and emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced Machine Learning Engineer to join our team in Cambridge, UK, to be part of this mission.
Description
In this role, you will be working on ideating and developing privacy preserving machine learning, deep learning, and generative AI algorithms for Apple Intelligence Photos features. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.
Minimum Qualifications
Preferred Qualifications
Submit Resume
Description
In this role, you will be working on ideating and developing privacy preserving machine learning, deep learning, and generative AI algorithms for Apple Intelligence Photos features. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.
Minimum Qualifications
- Proven industry experience building machine learning and deep learning based software applications
- Strong machine learning and deep learning fundamentals
- Exceptional problem-solving and interpersonal skills
- Robust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production quality deployment
Preferred Qualifications
- Hands on experience with large language models (LLMs) and parameter efficient fine tuning of LLMs
- Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences
- Proven ability to excel in a fast-paced development team Proficiency with deep learning toolkits such as PyTorch
Submit Resume
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