Team Lead for the AI & GPU Performance, Synthesia
+ Stock options + Bonus
1-5 days a week in office
AI video creation platform
Job no longer available
AI video creation platform
201-500 employees
Job no longer available
+ Stock options + Bonus
1-5 days a week in office
201-500 employees
Company mission
To empower everyone to make video content - without cameras, microphones or studios.
Role
Who you are
- You are a natural leader, with experience leading teams or high impact projects (beyond POC)
- You have a background in Computer Vision / Computer Science and 3+ years of industry experience. (PhD preferred)
- You have worked on optimising large models for over 3 years
- You have experience with optimising models that were trained on distributed systems
- You have strong experience in the video space (Diffusion models / GAN’s), preferably in the Avatar or generative video or image domain
- Experience with Triton, TensorRT, TensorLLM
- Familiar with distributed training tools like DDP , Deepspeed, Accelerate or similar
- You are interested in doing research, trying new things and pushing the boundaries, going beyond what's already known
- You have experience in using most modern frameworks for machine learning and deep learning
- You have great coding skills in Python, preferably C++ and Cuda
- And you care about writing clean, efficient code
What the job involves
- As a Team Lead you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video
- Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses
- If you are an expert in training Diffusion models for generative AI, this is your chance
- This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe
- As our Team Lead for the ML Performance team, you will define the technical vision and roadmap for large-scale model training, inference and optimisation
- By partnering with researchers and research teams you’ll identify high-impact initiatives and push the boundaries of model performance
- You’ll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques
- You will be a hands-on leader that can inspire the team to go beyond what we are capable of now and lead by example
- Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time efficiency at training and inference times
- Driving the adoption of best practices for large-model training, including checkpointing, gradient accumulation, and memory optimisation among others
- Introducing or enhancing tooling for distributed training, performance monitoring, and logging (e.g., DeepSpeed, PyTorch Distributed)
- Designing and implement techniques for model parallelism, data parallelism, and mixed-precision training
- Keeping the team updated on the latest research in model compression (e.g., quantization, pruning) and advanced optimisation methods
- Leading experiments to validate novel approaches and ensure models remain at the forefront of performance and reliability
- Managing, mentoring, and growing a team of ML optimisation engineers and specialists
- Providing technical guidance, setting goals, reviewing code, and leading by example in writing clean, efficient, maintainable code
Salary benchmarks
Our take
Video is an integral part of companies’ marketing strategies, and the adoption of synthetic media has grown in popularity. As organisations are investing in videos, startups are building platforms to support the process. Synthesia is an AI-powered video generation platform that saves enterprises up to 100x the cost and time of producing a video.
The company leverages deep learning to simulate real videos and real actors without the need for costly infrastructure like camera crews, actors, cameras, studios, and a lengthy post-production process. Synthesia’s first product STUDIO launched in public beta in the summer of 2020 and it is now used by 30,000+ companies, including the BBC, Teleperformance, Amazon, and Reuters.
Notably, Prof. Matthias Niessner, one of the co-founders of the company, is behind some of the most well-recognised research projects in the field Deep Video Portraits and Face2Face. The company's intuitive interface has grown to become the #1 rated video creation platform, proving its strong ability to capitalise on the growing AI in media market – which is estimated to be worth $99.48 Billion by 2030.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jan 2025
$180m
SERIES D
Jun 2023
$90m
SERIES C
Total funding: $336.9m
Company benefits
- đź“ŤYou will work in a hybrid setting with offices London, New York, Copenhagen, Amsterdam, Munich & Zurich!
- đź’¸ Stock options in our fast-growing Series C start-up
- 🌴 25 days of annual leave + public holidays in the country where you are based
- 🎉 Fun culture with regular socials and company retreats (Portugal, Copenhagen & Barcelona!)
- 🍫 Office snacks and regular tasty lunches!
- 🤑 Generous referral scheme
- 🚀 A huge opportunity for career growth as you’ll help shape a market-defining product
- 🏥 Private Medical Insurance (Medical History Disregarded basis) including mental health support, dental & vision, cashback and gym discounts.
- 🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay.
- 🧓 Pension contribution/salary sacrifice
- 🚲 Cycle to work scheme (London)
Company HQ
Fitzrovia, London, UK
Leadership
Victor Riparbelli
(Co-Founder & CEO)Experience working on growth and product at Aller Media and Founders. Co-founded Immersive Futures in 2016 and Coincall in 2017.
Steffen Tjerrild
(Co-Founder & COO)Former Investment Manager at Kukula Capital and Business Developer at Founders.
Matthias Niessner
(Co-Founder)Computer science professor at the Technical University Munich.
Lourdes Agapito
(Co-Founder)Professor of 3D Computer Vision at University College London.
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