AI Engineer
Posted Today by SGS Consulting
Negotiable
Undetermined
Remote
Remote
Summary: We are seeking a strong AI Engineer to join our Fundamental AI Research (FAIR) team, focused on making research breakthroughs in AI. You will build data engines and evaluation platforms that power our frontier multimodal LLMs, transforming raw data into high-fidelity benchmarks. Your work will bridge frontier research into our product ecosystem, impacting billions while collaborating with an interdisciplinary group of scientists and engineers.
Key Responsibilities:
- Design human 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, augment, 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.
Key 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 real infra.
- Web/UI engineering - production React/TypeScript; design, vibe 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 / big tech.
- MS or PhD in AI or related field (nice-to-have).
- Research track record in MLLMs - demonstrated through publications or impactful contributions to major projects (nice-to-have).
- Open-source contributions - experience shipping and maintaining public-facing repositories (nice-to-have).
Salary (Rate): £56,250 yearly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Summary:
We re seeking a strong AI Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Join the core team defining the future of multimodal AI. You will build the data engines and evaluation platforms that power our frontier multimodal LLMs, transforming raw data into high-fidelity benchmarks that drive breakthroughs.
You ll ship high-fidelity reproducible breakthroughs and bridge frontier research into our product ecosystem to impact billions. You'll collaborate within an interdisciplinary group of scientists and engineers, leveraging world-class compute, data resources, and research facilities.
What you'll do?
- Design human 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, augment, 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.
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