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Senior/Staff Machine Learning Engineer - Large Language Models (LLMs)

extra holidays - fully flexible
Remote: 
Full Remote
Salary: 
120 - 120K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of experience in software development, Experience training and deploying LLMs, Extensive experience with consumer-facing applications, Background in early-stage startups or established organizations.

Key responsabilities:

  • Work end-to-end on machine-learning efforts
  • Manage projects from ideation to validation
Synthesia logo
Synthesia Scaleup http://synthesia.io
201 - 500 Employees
See more Synthesia offers

Job description

Synthesia is the world's first AI video generation platform. It's a video production studio in a browser; no cameras, no film crews. You simply choose an avatar, enter your script, and your video is ready in minutes. We believe the future of media is synthetic, and we are on a mission to turn cameras into code and make everyone a creator. Check out our brand video to get a deeper insight into what we're working on here at Synthesia.

The Assisted Creation team 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. We’re at the cutting edge of the generative AI application layer, tackling unsolved problems requiring machine learning, data, infrastructure, and product integration to enable a first-of-its-kind product.

What you'll do at Synthesia:
  • You will work end-to-end, contributing to Assisted Creation’s machine-learning efforts.
  • You will have sole ownership of projects that span months, requiring you to be able to break a problem down into small steps that can be delivered and validated iteratively.
  • You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem you're solving. You will have the opportunity to shape the direction of the product.
  • You will evaluate your work, 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.
  • You will consider the team's long-term direction and ensure we are developing the engineering capabilities to stay ahead of the challenges we will likely encounter in 6-12 months

 

What we're looking for:
  • You have prior experience training and deploying LLMs, ideally with open-source models.
  • You have 5+ years of experience working in software development.
  • You have extensive experience building performant, consumer-facing applications.
  • You have experience that ranges from early-stage start-ups to well-established organizations.
  • A good level of spoken and written English is required.

 

At Synthesia, we expect everyone to…
  • Be an owner.
  • Focus on outcomes over inputs and plans.
  • Make the journey fun.
  • Default to simple.

You can read more about our values here

The hiring process:
  1. 30min call with our technical recruiter
  2. 30min call with engineers about your past
  3. Take-home assignment (no alternative is offered) 
  4. 60min technical discussion
  5. 30min call with leadership 

The process does not need to take long - we can be done in seven working days.

 

Other important info:
  • This is a remote role from an EU country or Switzerland. 
  • The salary starts at EUR/GDP/CHF 120.000 base + stock option plan.
  • This is full-time employment only - no contractors possible - usually through OysterHR.
  • Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible).
  • We only sponsor VISA if you are in the EU country already and need support - we do not relocate people.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Results Focused

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