ML ops engineer

✍🏽 About Writer

Great writing for everyone. That's our vision.

We're filling a big need for a writing assistant that's built ground-up for the needs of professional users and teams. Writing really is the last unstructured business process. 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 a 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.)

🎯 Why it's the perfect time to join

• We're 25 people. There's a lot of room to contribute and grow an enduring SaaS company. You will have unquestionably made it happen.

• We have strong PMF. We have strong DAUs and deep usage. People spend hours in Writer. The work you'll do will have a direct impact on some of the top companies in the world — as well as users who depend on us to sharpen their writing.

• Build it, nail it, scale it. We're at 'nail it.' If you like helping turn dirt paths into smooth roads, now is the perfect time to join. We've grown 5x and are running fast towards aggressive — and achievable — milestones.

📐 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

We don’t spend frivolously, but we do take care of our own. Besides smart, sincere colleagues and a vibrant work environment, we are proud to offer:

• Employer-covered medical plans, dental, vision, and life insurance

• FSA

• Competitive parental leave policy (parents actually work here!)

• Generous PTO

• Company stock options

• 401k plan with employer matching

• Flexible schedules

Writer is an equal opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.