AI Engineer – Model Training & Finetuning

sgs-job-4142

Engineering
Remote
AI
ML
LLM
Fine-tuning (SFT/preference)
Multimodal
Python
Pytorch

Contract - 12 Months

Location (mandatory): Remote Client is seeking a strong AI Engineer to join our AI Research 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 at Client-scale. You’ll ship high-fidelity reproducible breakthroughs and bridge frontier research into Client's 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.

Job Responsibilities:

  • 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 tech, preference for (FAANG/MAANG).

Skills:

  • MS or PhD in AI or related field.
  • Research track record in MLLMs – Demonstrated through publications or impactful contributions to major projects.
  • Open-source contributions – Experience shipping and maintaining public-facing repositories.

Education/Experience:

  • Bachelor’s degree

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