At a Glance
- Tasks: Join a team to create lifelike synthetic humans through innovative AI video technology.
- Company: Leading AI video platform trusted by Fortune 100 companies.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave.
- Other info: Dynamic culture with regular social events and excellent career growth.
- Why this job: Make a real impact in the exciting field of generative AI.
- Qualifications: 3+ years in Computer Vision/Computer Science with coding skills in Python.
The predicted salary is between 60000 - 80000 £ per year.
Synthesia is a leading AI video platform used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London with teams across Europe and the United States.
As a Staff Research Engineer you will join a team of more than 40 researchers and engineers in the R&D Department, working on cutting‑edge challenges in generative AI. Your focus will be on creating highly realistic, emotional and life‑like synthetic humans through text‑to‑video. You will work on the applied side of research, directly impacting solutions used worldwide by over 55,000 businesses.
Responsibilities
- Apply DPO (direct preference optimisation) to pre‑trained models.
- Adapt models to extend their capabilities, for instance by changing conditioning inputs.
- Build solutions for dubbing and evaluate the quality of lip‑sync.
- Implement post‑training optimisation techniques such as quantisation, pruning and distillation to improve the efficiency of diffusion models used in avatar generation.
- Analyse and address challenges related to model performance, ensuring high‑quality output in avatar rendering.
- Stay updated with the latest research and advancements in diffusion models, adversarial networks and post‑training optimisation methods.
Qualifications
- You have a background in Computer Vision / Computer Science and 3+ years of industry experience.
- You have knowledge of recent advancements in post‑training techniques, e.g. distillation, adversarial networks and efficient attention.
- You have worked with generative models for images and/or videos (Diffusion/GAN), preferably in the avatar domain.
- You are interested in research, try new things and push the boundaries beyond what is known.
- You have experience with most modern frameworks for machine learning and deep learning.
- You have great coding skills in Python and care about writing clean code.
- You have experience with SDLC tools (Git), preferably CI/CD.
Benefits
- Competitive compensation (salary + stock options).
- Hybrid work setting with an office in London, Amsterdam, Zurich, Munich or remote in Europe.
- 25 days of annual leave + public holidays.
- Great company culture with the option to join regular planning and socials at our hubs.
- Other benefits depending on your location.
Staff Research Engineer - Video Post Training in London employer: Synthesia Limited
At Synthesia, we pride ourselves on being a pioneering employer in the AI video technology space, offering our Staff Research Engineers the opportunity to work on groundbreaking projects that shape the future of generative AI. With a vibrant work culture that encourages innovation and collaboration, employees benefit from competitive compensation, flexible hybrid working arrangements, and ample opportunities for professional growth within our dynamic teams based in London and across Europe. Join us to be part of a forward-thinking company that values creativity and provides a supportive environment for personal and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Research Engineer - Video Post Training in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Synthesia Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Staff Research Engineer - Video Post Training at Synthesia Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Synthesia Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Research Engineer - Video Post Training at Synthesia Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Staff Research Engineer - Video Post Training in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Synthesia Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Synthesia Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Synthesia Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Synthesia Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
