Senior Applied NLP Research Engineer
Senior Applied NLP Research Engineer

Senior Applied NLP Research Engineer

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop ML models and data pipelines for our AI video creation platform.
  • Company: Join Synthesia, a unicorn startup revolutionizing video production with AI technology.
  • Benefits: Enjoy hybrid work, competitive salary, stock options, and 25 days of annual leave.
  • Why this job: Shape the future of video communication while working in a dynamic and innovative environment.
  • Qualifications: 5+ years in machine learning and NLP, with experience in deploying LLMs.
  • Other info: Collaborate closely with product managers and enjoy a vibrant company culture.

The predicted salary is between 48000 - 84000 £ per year.

London

Who are we?

From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content.
Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video .

Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now….

Meet Synthesia

We\’re on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it\’s for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 .

In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We’ve raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.

The Assisted Creation product is central to that mission. It further simplifies video creation by building an AI-based co-pilot for Synthesia . Our goal is to provide users, regardless of their prior video editing experience, with intuitive tools that ensure their success on our platform. To get started, users only need to supply an initial idea, which we turn into a video draft in seconds. Our solution uses a modern machine-learning stack based on LLMs, LVMs, embeddings, and more.

What will you be doing?

This role is a collaboration between the NLP team and the Assisted Creation team in the product.
The NLP team is part of the R&D team and is responsible for prototyping solutions for longer term challenges that involve language understanding.
The Assisted Creation team is responsible for integrating and delivering the solutions to the product.

In this role you will sit within the NLP team and work on long term solutions for the Assisted Creation project by coming up with suitable ML solutions and thinking about / recommending the required data and data pipeline. We believe in ownership, so you will have sole ownership of your projects which can be long term. You will be working with the product manager responsible for the Assisted Creation. Therefore it’s important to be able to communicate and understand product needs. As a result you will have the opportunity to shape the direction of the product.

Furthermore you will be responsible for:

  • Developing ML models, data processing pipelines, evaluation, and making sure that the solutions are deployable to the product.
  • Evaluating your work, and leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary.
  • Breaking down a problem into small steps that can be delivered and validated iteratively is important.

Who are you?

  • You have prior experience fine-tuning and deploying LLMs, ideally with open-source models.
  • You have 5+ years of experience working in machine learning with experience in NLP.
  • You have experience building performant ML based applications.
  • Experience with CV and Diffusion models is a plus.
  • Experience collaborating with Product Managers (cross team collaboration)
  • And most importantly..You have excellent verbal and written communication skills in English and you are passionate about what you do!

The good stuff

  • Attractive compensation (salary + stock options + bonus)
  • Hybrid work setting with an office in London (we need you to be in London, or in the EU and willing to relocate)
  • 25 days of annual leave + public holidays
  • Work in a great company culture with the option to join regular planning and socials at our hubs, and company retreats
  • A generous referral scheme when you know people that are amazing for us
  • Strong opportunities for your career growth

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Senior Applied NLP Research Engineer employer: synthesia.io

At Synthesia, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With a hybrid work setting, generous annual leave, and strong career growth opportunities, we empower our employees to take ownership of their projects while enjoying regular social events and company retreats. Join us in revolutionizing video communication and be part of a rapidly growing team that values innovation and excellence.
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Contact Detail:

synthesia.io Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Applied NLP Research Engineer

✨Tip Number 1

Familiarize yourself with the latest advancements in NLP and machine learning, especially focusing on LLMs and their applications. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Engage with the AI and NLP community through forums, webinars, or local meetups. Networking can provide valuable insights into industry trends and may even lead to referrals within companies like us.

✨Tip Number 3

Prepare to discuss specific projects where you've fine-tuned and deployed LLMs. Be ready to explain your thought process, challenges faced, and how you collaborated with product managers to achieve successful outcomes.

✨Tip Number 4

Showcase your communication skills by practicing explaining complex technical concepts in simple terms. This is crucial as you'll need to convey ideas effectively to both technical and non-technical stakeholders.

We think you need these skills to ace Senior Applied NLP Research Engineer

Machine Learning
Natural Language Processing (NLP)
Fine-tuning LLMs
Data Processing Pipelines
Model Evaluation
Cross-team Collaboration
Communication Skills
Problem Decomposition
Performance Optimization
Experience with Open-source Models
Knowledge of Computer Vision (CV)
Familiarity with Diffusion Models
Project Ownership
Iterative Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in machine learning and NLP, especially any work with LLMs. Use specific examples that demonstrate your ability to develop ML models and data processing pipelines.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and video technology. Discuss how your skills align with the role and mention any relevant projects you've worked on that showcase your problem-solving abilities.

Showcase Communication Skills: Since excellent verbal and written communication skills are crucial for this role, consider including a brief section in your application that highlights your experience collaborating with product managers and cross-team collaboration.

Highlight Relevant Experience: Be sure to include any experience you have with deploying ML applications, particularly in the context of NLP. If you have worked with CV and Diffusion models, mention that as well, as it could set you apart from other candidates.

How to prepare for a job interview at synthesia.io

✨Showcase Your NLP Expertise

Be prepared to discuss your experience with fine-tuning and deploying LLMs. Highlight specific projects where you've successfully implemented machine learning solutions, especially in NLP, and be ready to explain the challenges you faced and how you overcame them.

✨Communicate Clearly

Since excellent verbal and written communication skills are crucial for this role, practice articulating your thoughts clearly. Be concise and ensure you can explain complex technical concepts in a way that is understandable to non-technical stakeholders.

✨Understand Product Needs

Familiarize yourself with the Assisted Creation product and its goals. Think about how your work can align with product needs and be ready to discuss how you would approach integrating ML solutions into the product effectively.

✨Demonstrate Problem-Solving Skills

Prepare to discuss how you break down complex problems into manageable steps. Provide examples of past projects where you iteratively validated your solutions and pivoted based on feedback or results, showcasing your adaptability and ownership of projects.

Senior Applied NLP Research Engineer
synthesia.io
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  • Senior Applied NLP Research Engineer

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-05-23

  • S

    synthesia.io

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