Machine Learning Platform Engineer - - Remote Eligible

Machine Learning Platform Engineer

You will be working on the MLOps team, which covers a variety of disciplines and areas of ownership. This will range from managing cloud infrastructure and tooling for our AI researchers to deploying infrastructure for our models in production.

We'd be particularly excited if you have strong experience in one or more of the following...

These are skills/areas where we would love to add more expertise in the team. If you've worked in these areas before, tell us about them.

• Kubernetes (EKS) – we mostly use it to deploy our models and data
• Working closely with AI Researchers and supporting them in their infrastructure requirements
• Cloud based hosting (AWS)
• Infrastructure As Code (Terraform and Terragrunt today)
• Observability (Datadog), with a strong focus on enabling and empowering Engineering teams to understand their product in Production
• CI and CD patterns and implementations (we use Github Actions running on our own fleet in AWS)
• Temporal.io (we selfhost) - we use it for lots of things. Temporal is a workflow orchestration platform that we use to manage the lifecycle of our models and data
• Application development. If you're currently an application engineer working in Python or NodeJS with a strong operational slant, that can work well for us. Frontend experience is a plus
• FinOps. Working with our finance team to understand how the business wants to allocate costs, baking those feedback loops down into our platform, managing vendors and driving down costs

Why join us?

We're living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here's why,

Our culture

At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible.

Serving 50,000+ customers (and 50% of the Fortune 500)

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.

Proprietary AI technology

Since 2017, we've been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.

The hiring process:

1. 30min call with our technical recruiter
2. 45min call with engineers about your past projects
3. Take-home assignment (no alternative is offered) - does not have a deadline and it is syntax agnostic
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, UK or Switzerland.
• The salary starts at EUR/GDP/CHF 100.000 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 UK/EU country already and need support - we do not relocate people.