Apple · Seattle ·
Builds and deploys machine learning models on Apple's Search Safety team to detect, demote, and filter harmful or policy-violating content across search surfaces like Siri, Spotlight, and Safari. Work spans NLP, multimodal ML, and trust & safety challenges such as adversarial evasion and jailbreaking, using frameworks like PyTorch, TensorFlow, or JAX.
gray swan ai · Pittsburgh
Sardine · United Kingdom
Workday · Canada, BC, Vancouver
Linkedin · Bengaluru, KA, India
Do you want to make Siri and Apple products safer for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more. We are deeply committed to ensuring that our platform remains a safe, welcoming, and trustworthy environment for everyone.
We are looking for a highly skilled Machine Learning Engineer to join our Search Safety team. In this role, you will build and deploy state-of-the-art machine learning models designed to detect, demote, and filter harmful, abusive, or policy-violating content across our search ecosystem. You will work at the intersection of Search, Natural Language Processing (NLP), Image and Trust & Safety, addressing complex challenges like query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering. If you are passionate about protecting users and building robust ML systems at scale, we want you on our team.
Go Fund Me · Buenos Aires, Argentina