Staff Research Engineer: Multimodal Generative AI

SLAMcore; United Kingdom; Remote; GBP 120,000 - 180,000; Full time

Job summary

Synthesia, the world’s leading AI video platform, is seeking a Staff Research Engineer to shape the voice team’s roadmap and drive cross‑team research in multimodal, audio‑visual systems. You’ll own design, implementation and shipping of core components, collaborating with voice and video teams to deliver low‑latency, natural conversations and interactive experiences for enterprise customers.

Relentless curiosity, strong papers or open‑source contributions, and hands‑on experience with DL models

Qualifications

• Novel ideas that advance multimodal interactive systems.
• Strong understanding of generative modelling for sequential or multimodal data.
• Hands‑on experience with Large Language Models or transformer architectures.
• High proficiency in PyTorch, including distributed training and model optimisation.

Responsibilities

• Shape our roadmap to create new model capabilities and unlock new functionality for our customer base, on both short and long time horizons.
• Propose novel multi-modal system architectures (especially text and voice).
• Develop and evaluate streaming and conversational systems for low-latency interactive voice-video synthesis.
• Design solutions that reinforce emotional expressiveness and natural interaction.
• Implement and bring designs to life, from pretraining through post-training.
• Integrate and test novel architectures (neural codecs, diffusion, flow-matching) to enhance realism and responsiveness.
• Define new evaluation metrics for conversational systems, including latency-aware and interaction-based measurements.
• Track the latest research in audio-visual diffusion, autoregressive models, neural codecs, and multimodal LLMs.
• Curate new datasets to complement existing data.
• Lead post-training initiatives like DPO, fine-tuning, and distillation to bring models to shipping quality.
• Ship models to production with optimised runtime to serve customers, and address their feedback thereafter.

Skills

Generative modelling

LLMs

PyTorch

Time-series modelling

Prototyping

Deep learning

Software engineering

Distributed training

Model optimisation

Tools

Distributed training

Model optimisation

Job description

Synthesia, the world’s leading AI video platform, is seeking a Staff Research Engineer to shape the voice team’s roadmap and drive cross‑team research in multimodal, audio‑visual systems. You’ll own design, implementation and shipping of core components, collaborating with voice and video teams to deliver low‑latency, natural conversations and interactive experiences for enterprise customers.

Relentless curiosity, strong papers or open‑source contributions, and hands‑on experience with DL models