Apple Jobs Remote $30/Hr
Job Responsibilities: Robustness Analysis & AI Safety ML Engineer
Salary: $30/Hour
Company: Apple
Location: Santa Clara Valley, USA
Educational Requirements: Bachelor Degree
About the Company: Apple Inc. is an American multinational technology company headquartered in Cupertino, California. Apple is the world’s largest technology company by revenue, with US$394.3 billion in 2022 revenue. As of March 2023, Apple is the world’s biggest company by market capitalization.
Full Job Description :
We’re the Intelligence gadget revel in (ISE) crew within Apple’s software program business enterprise. The crew works at the intersection between multimodal system mastering and gadget experiences. Device enjoy (Springboard, Settings), Keyboards, Pencil & Paper, Shortcuts are some of the reviews that the crew oversees. Those reports that our customers revel in are sponsored via manufacturing scale ML workflows. Visual knowledge of humans, textual content, Handwriting & Scenes, multilingual NLP for writing workflows & knowledge extraction, behavioral modeling for proactive tips, and privacy maintaining learning are areas our multi disciplinary ML groups consciousness on.
We have more than one ongoing efforts involving generative models, and we are searching out proficient applicants to make sure that features constructed on top of such models are secure for deployment, and carry out similarly well for numerous clients within Apple’s global user base.
That is an interesting time to sign up for us: grow fast, and feature a nice effect on a couple of key functions for your first day at Apple!
Key qualifications
- Appropriate ML fundamentals
- Revel in in education device studying fashions (NLP or pc imaginative and prescient)
- Familiarity with challenges related to building strong ML datasets and fashions: definition and coverage of goal data distribution, potential biases, ability failure modes
- Established enjoy in getting access to and addressing capacity dangers and making sure the protection and fairness in generative models. Previous experience in LLM safety is a massive plus.
- Robust programming abilties in Python to operate fashions and facts at scale
- Familiarity with ML toolkits, e.G., PyTorch
- High-quality force, hassle fixing abilities and analytical method
- Strong conversation and collaboration skills in a pass-useful setting. Capacity to work fingers-on with multi-useful groups
Description
Apple’s dedication to deliver terrific studies to a global and numerous set of customers, in complete appreciate in their privacy, has brought about the development of a devoted Robustness evaluation function. With the generative revel in, growing a secure and strong platform is important to our task. Group’s obligations encompass tracking ML model overall performance on relevant axes, and surfacing, measuring and mitigating ML failure modes, so one can enhance universal consumer enjoy and decrease risks, with unique attention given to protection, inclusion and fairness.
In this role, you will be part of a crew of human beings obsessed on main RA operations for key future going through Apple functions with focus on ensuring safety and robustness for generative models.
THIS consists of:
- studies and broaden techniques to mitigate dangerous and threat behaviors in generative models
- define product-focused axes of evaluation applicable to goal function, in collaboration with model DRI and characteristic DRI
- broaden approaches (fashions, gear and data) to discover other potential biases or failure modes
- when relevant, benchmark version using centered public datasets
- represent capacity biases in training set and version alongside selected axes
- request data collection efforts and/or enforce automatic pipelines based totally on advanced ML era and —–people/models inside the loop to create check sets covering the diverse axes of research
- document progress and issues found in technical and sponsor conferences
- advocate mitigation options (information and/or version) and lead mitigation experiments, when troubles are located
Education & enjoy
- M.S. Or PhD in pc technological know-how, facts science, arithmetic, Physics, or a related field (or equal realistic experience)
Apple Jobs Remote $30/Hr
