• Develop and scale enterprise web applications using Angular • Integrate frontend applications with Python/FastAPI backends • Implement GPT/LLM-based modules to support evaluation, automation, and workflow optimisation • Design, build, and consume REST APIs within a microservices architecture • Implement secure authentication and authorisation mechanisms • Collaborate closely with Data Science and platform teams to integrate AI capabilities • Participate in technical architecture discussions and contribute to system design decisions • Ensure scalability, maintainability, and performance of applications • Contribute to Agile ceremonies and delivery planning • Support deployment, integration, and release activities across environments

• Define and own the AI platform architecture: retrieval infrastructure, model lifecycle, evals framework, guardrails, and GenAI product feature design. • Lead the build of the shared AI platform layer consumed by all AI product features and reusable by internal business teams. • Hands-on contributor: build production AI systems, write proofs of concept, and validate architecture through working software. • Set and enforce technical standards for the AI Platform team; drive architecture reviews and model quality reviews. • Coordinate with the Personalization team to define clear boundaries between the GenAI product layer and existing ML personalization infrastructure. • Contribute AI platform-specific patterns and lessons into iHerb's shared AI-driven SDLC golden path. • Drive the hardest cross-cutting technical decisions across multiple teams and shared platform services. • Establish and evolve iHerb's AI-driven SDLC golden path: shared standards, Claude Code skills, guardrails, and automation patterns. • Lead complex multi-team technical efforts by coordinating architecture reviews, aligning peer Principals and EMs, and resolving competing approaches. • Mentor and raise the technical bar across the engineering organization through code review, architecture review, and direct coaching of senior engineers. • Represent engineering in cross-functional conversations with product, data science, security, and infrastructure. • Feed architectural decisions into the shared knowledge base so institutional knowledge compounds across the organization.

• Play a critical role in bridging data science and software engineering • Work closely with data scientists, software engineers, and product teams • Deliver robust, scalable AI solutions • Ensure seamless integration of AI models into production systems • Optimize performance and maintain reliability of AI-driven features

Role Description Mercor connects elite creative and technical talent with leading AI research labs. The position is for a Human Baseliner for Open-Ended ML Research Tasks. - Attempt open-ended machine learning research tasks under a fixed time and compute budget. - Work independently in a sandboxed Linux environment with internet access. - Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT. - Record full working sessions via screen recording. - Complete pre-task and post-task questionnaires. - Submit final work product, screen recording, and completed questionnaires for evaluation. Qualifications - 3+ years of machine learning experience. Time in a PhD program counts. - Attended a top-100 university or worked at FAANG or a comparable company. - Experience with PyTorch, JAX, or TensorFlow. - Deep expertise in at least one focus area: pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual experience, or data pipelines. Requirements - Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture. - One baseline attempt per contractor per task. - Each task may only be attempted once. - All work is confidential and covered by NDA. - Compute and environment are provided; no personal GPU required. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.