Position: MLOps engineer
Company: DataRoot Labs
Category: Python
Experience required: 2y
English level: upper

Our roadmap is an exciting combination of deepening functionality for team leaders and extending functionality for end-users — helping them be more effective and efficient in their writing.

**Traction and backing**

Our customers include Twitter, Intuit, UiPath, Pinterest, and InVision. It's a great community of writers, content strategists, copyeditors, and editorial leaders. They are a true community and the content vanguard. We have an NRR of +130% and we're just getting started.

Our funnel is large and growing fast (+1M visitors/month, thousands of weekly trial starts). This is important, as you'll have nearly instant feedback on the features you'll be building or the growth experiments you'll be running.

We're backed by the best funds in the game and a world-class group of founders, operators, and angels. (Series A not yet announced 🤫 but we will share more when we meet.)

**About this role**

Great writing, for everyone. It’s our vision for Writer, and you'll be a core part of making the vision a reality. You'll be working closely with the founders and the engineering team to build, manage, and scale writing suggestions that +100K people rely on every day.

As an MLOps engineer, you will be part of the NLP engineering team, which works closely with the backend, devops, and product teams to deliver, maintain, and improve services which allow our users to write better, faster, and more consistently. You will be part of a team that frequently productionalizes research ideas from the academic NLP community.

**Your responsibilities**

- Optimize existing NLP models for performance, scalability and reliability, with a focus on continuous improvement
- Productionalize deep learning models while ensuring that business SLAs, including security requirements, are adhered to
- Provide infrastructure and tooling to make building and training models faster, easier, and more repeatable
- Build and improve data gathering and evaluation pipelines

**Is this you?**

- 2+ years experience with end-to-end deep learning model development, deployment, and operation
- Strong experience with Python
- Strong experience with deep learning frameworks like PyTorch, JAX, or TensorFlow
- Experience with AI hardware (GPUs, SSDs, InfiniBand, etc.)
- Experience managing and troubleshooting distributed systems, and comfort with public cloud IaaS/PaaS (especially Kubernetes)
- Experience with optimization tools like ONNX or TorchScript
- Experience with automating and orchestrating ML pipelines as well as monitoring, optimizing, and maintaining ML solutions

And:

- Proactive communication skills, both sync and async
- Intrinsically motivated: you set the highest possible bar for what you do
- A connection to our mission of Great writing for everyone
- A natural affinity to our values of Connect, challenge, own

**Benefits**

- Startup culture, a strong product-oriented team that consists of Tech Leads and Senior specialists.
- Working with the newest technical equipment (MacBook Pro 16″).
- 20 working days of annual vacation leave.
- English courses, educational events and conferences are covered by the company upon request.
- Premium medical insurance is covered by the company.