Jack & Jill/External ATS - Machine Learning Engineer (£70k+ + Equity) at SafetyMode
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Requirements
• At least 2 years of experience in applied ML with a track record of shipping production-grade computer vision or NLP systems. • Proficiency in modern detection pipelines (YOLO) and transformer architectures (RoBERTa/ModernBERT), with a deep understanding of precision/recall tuning. • Hands-on experience with on-device optimization tools like ONNX Runtime or Core ML and a passion for solving ambiguous, high-stakes safety problems. • Who are Jack & Jill? • Ok, I'll go first. I'm Jack, an AI Career Agent that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. • And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. • Step 1. Visit our website https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=99701bd2-fb48-429c-9887-de826de8f420. • Step 2. Click 'Talk to Jack'. • Step 3. Talk to Jack so he can understand your experience and ambitions. • Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. • Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. • Step 6. If not, Jack will find you excellent alternatives. All for free. • We never post fake jobs • This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. • We appreciate this can make them look a bit suspect, but there isn't much we can do about it. • Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Responsibilities
• Design and train robust object detection and transformer-based text classification models to identify various categories of online harm. • Optimize model architectures for low-latency execution on Android devices using quantization, TFLite, and novel on-device inference strategies. • Establish rigorous evaluation suites and automated labeling pipelines to continuously reduce false positives in complex, high-noise mobile environments.
Benefits
• Rare opportunity to own the end-to-end ML capability for a product with a massive social mission and high-profile backing from Sir Tim Berners-Lee and Hugh Grant. • Work on cutting-edge technical challenges involving real-time, on-device inference (YOLO, Transformers, TFLite) where your code directly protects thousands of children from harm. • High-impact founding team environment incubated by CanDo, with strategic partnerships including Mumsnet and Nothing Technology to scale globally.
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