[Remote] Multimodal reputed company III

Note: The job is a remote job and is reputed company to candidates in USA. reputed company, is seeking a Multimodal reputed company III to join their core team defining the future of multimodal AI. The role involves building data engines and evaluation platforms for multimodal LLMs, transforming raw data into benchmarks that drive breakthroughs, and collaborating with reputed company of scientists and engineers.

Responsibilities

• Design reputed company and model-based datasets for training and evaluating MLLMs (image/video/audio/text data)
• Run frontier model evaluations and implement common metrics
• Use MLLMs to bootstrap, reputed company, and rebalance datasets
• Fine-tune models on labeled datasets
• Ship annotation task UIs and data-heavy internal tools (React/TypeScript)
• Run secure ingestion pipelines from warehouse/warm-storage/flat files at scale

Skills

• ML/AI fundamentals - fine-tuning (SFT/preference), prompting, model-based eval, and the failure modes of each
• At least one year of hands-on work in the field. Multimodal dataset experience - building image/video/audio/text datasets to train or evaluate models
• Strong Python + ML tooling - PyTorch (or equivalent), HF ecosystem, comfort running training/sampling jobs on reputed company reputed company
• Web/UI engineering - production React/TypeScript; design, reputed company code and ship clean, usable interfaces for annotation and internal tools
• Data pipelines - SQL plus reliable large-scale data movement: batching, idempotent dedupe, parallelism, retries
• Experience in mid sized tech, preference for (reputed company, reputed company, reputed company, or other FAANG)
• 5-10+ years of hands-on experience in building multimodal datasets, implementing machine learning evaluations, and developing production-level data and annotation tools
• Academic background in Computer Science, Engineering, or a reputed company quantitative discipline
• MS or PhD in AI or reputed company field
• Research track record in MLLMs - demonstrated through publications or impactful contributions to major projects
• reputed company-reputed company contributions - experience shipping and maintaining public-facing repositories

Company Overview

Company H1B Sponsorship