AI Research Engineer – Image/Video Foundation Models
GenPeach AI
full-time
Posted on:
Location Type: Remote
Location: Switzerland
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Job Level
About the role
- Implement and iterate on image/video generative model ideas (architecture, losses, conditioning, sampling, pre-training, distillation, post-training)
- Own training performance end-to-end (distributed training, throughput, memory, stability, debugging scaling failure modes)
- Build the experimentation loop (evals, ablations, reproducibility tooling, reporting, decision hygiene)
- Build and improve VLMs for image/video captioning (data recipes, training strategies, model variants, evaluation)
- Run high-iteration research: read papers when useful, implement ideas, validate empirically
- Create captioning pipelines that improve generation training and product quality
- Partner with inference/product to ship under real constraints (latency, cost, reliability, rollout safety)
- Build demos and prototypes to showcase capabilities and accelerate iteration
Requirements
- Strong Python and PyTorch skills (4+ years of experience)
- Experience implementing and training deep learning models (generative models, VLMs, LLMs, vision/video, or adjacent)
- Solid understanding of training dynamics, optimization, and practical debugging
- Ability to drive projects end-to-end with minimal supervision
Benefits
- Visa sponsorship (where applicable); we’ll make a strong effort to relocate you to Switzerland or Poland if desired
- Remote-friendly: work fully remote, hybrid, or on-site from our hubs
- Regular offsites and in-person events to collaborate and connect
- Flexible PTO
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPyTorchdeep learning modelsgenerative modelsVLMsLLMstraining dynamicsoptimizationdebuggingimage/video captioning
Soft Skills
project managementindependenceempirical validationcommunication