Hiring: Member of Technical Staff, Machine Learning Company: Sieve Location: San Francisco, CA Job Posted Time: 2026-09-16 11:57:26 Employment Type: Full-time Target Skills & Keywords: Python, PyTorch, Multimodal AI, Vision-Language Models (VLMs), Foundation Models, Model Fine-Tuning, Evaluation Frameworks, Dataset Quality, Precision/Recall Tradeoffs, Production ML Pipelines, Video Understanding, Data Filtering, Ranking & Retrieval, Labeling Systems, LLM APIs (Gemini, GPT, Claude), Open-Source VLMs Experience: - Strong Python engineering background with experience building production ML systems - Hands-on experience training, fine-tuning, or deploying modern deep learning models - Comfortable owning projects end-to-end — from customer problem to internal pipelines to deployed solution - Experience rapidly prototyping with new AI models and APIs Required Skills: - Strong Python engineering for production ML systems - Training, fine-tuning, and deploying modern deep learning models - Proficiency with PyTorch and modern foundation models - Strong intuition for evaluation, dataset quality, precision/recall tradeoffs, and edge cases - Ability to design high-precision filtering, ranking, retrieval, and labeling systems over internet-scale video datasets - Building automated evaluation and QA pipelines using frontier models (Gemini, GPT, Claude, open-source VLMs) - Developing production ML pipelines spanning preprocessing, inference, post-processing, and quality validation - Translating ambiguous customer requirements into scalable ML systems Qualifications: - Strong communicator who enjoys working directly with customers and cross-functional teams - Excited by video, multimodal AI, and frontier foundation models - Enjoys owning problems end-to-end and shipping measurable improvements - Must be onsite at SF HQ 5 days per week (in-person role) Compensation: - Base pay range: $150,000.00/yr - $350,000.00/yr - Actual pay based on skills and experience Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!