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AI role · Open offer

Generative AI Engineer — video

Synthesia

Full-time
Senior
GenAI
Hybrid
90 Long Acre, London, England WC2E 9RZ, United Kingdom · Hybrid
London, United Kingdom
£100k–£135k + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 90 Long Acre, London, England WC2E 9RZ, United Kingdom · Hybrid
Compensation: £100k–£135k + equity
Experience level: Senior
Team: GenAI
Benefits & perks: GPU budget, equity, hybrid.
How to apply: Generative video or avatar pipeline you improved.
Company site: www.synthesia.io
Listed: Jul 5, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Synthesia is hiring a Senior Generative AI Engineer — video on the GenAI team (Hybrid · London, United Kingdom). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Synthesia creates AI video avatars for L&D and marketing teams worldwide.

Generative AI Engineer: diffusion/video models, GPU pipelines, and quality gates for enterprise customers.

What you will do

Deliver production-grade generative video models with measurable quality, latency, and cost targets.
Build offline evals and online monitoring before scaling to full traffic.
Collaborate with product, design, legal, or domain experts on safe rollout.
Write clear RFCs, runbooks, and postmortems for cross-team learning.

What we look for

Multiple shipped ML/LLM features—not coursework-only portfolios.
Strong Python, SQL, and experimentation discipline.
Clear communication for remote or hybrid stakeholders.
Work authorization for the listed country.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Generative video or avatar pipeline you improved.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · London, United Kingdom)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: £100k–£135k + equity, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Generative video or avatar pipeline you improved.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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