Platform Engineer, Writer
MLOps
+ Company stock options
AI writing assistant
Open for applications
AI writing assistant
201-500 employees
Open for applications
+ Company stock options
201-500 employees
Company mission
To bring generative AI to the enterprise.
Role
Who you are
- You have professional experience with: Infrastructure as code tools like Terraform; Scripting languages such as Python or Bash; Cloud platforms such as Google Cloud, AWS or Azure; Git and GitHub workflows
- Familiar with high-performance, large-scale ML systems
- You have a knack for troubleshooting complex systems and enjoy solving challenging problems
- Proactive in identifying problems, performance bottlenecks, and areas for improvement
- Take pride in building and operating scalable, reliable, secure systems
- Familiar with monitoring tools such as Prometheus, Grafana, or similar
- Are comfortable with ambiguity and rapid change
Desirable
- 5+ years building core infrastructure
- Experience running inference clusters at scale
- Experience operating orchestration systems such as Kubernetes at scale
What the job involves
- As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments
- Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs
- You will ensure that training environments are optimally available and efficiently managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like Docker and Kubernetes
- This role demands a proactive approach to maintaining large Kubernetes clusters, optimizing system performance, and providing operational support for our suite of software solutions
- Work closely with AI/ML engineers and researchers to design and deploy a CI/CD pipeline that ensures safe and reproducible experiments
- Set up and manage monitoring, logging, and alerting systems for extensive training runs and client-facing APIs
- Ensure training environments are consistently available and prepared across multiple clusters
- Develop and manage containerization and orchestration systems utilizing tools such as Docker and Kubernetes
- Operate and oversee large Kubernetes clusters with GPU workloads
- Improve reliability, quality, and time-to-market of our suite of software solutions
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
- Provide primary operational support and engineering for multiple large-scale distributed software applications
Salary benchmarks
Our take
AI-assisted writing tools have taken off over recent years. With the likes of high-exposure company Grammarly accelerating adoption of such tools, a flurry of startups have appeared to offer their own takes. Writer’s angle is to leverage AI as a means of standardizing and scaling both content and communications for business teams. The tool offers autofilling and inline suggestions that keep content aligned with pre-determined company language and style guides.
This branded fine-tuning function distinguishes it from full copy-generation competitors, as well as from Grammarly itself, which is a more generalist copyediting tool. It subsequently caters to major enterprise clients looking to maintain standards across multiple and sprawling teams, and the company has managed to net major clients like Deloitte, Twitter, UiPath, and Accenture.
While AI-related buzz remains solidly around generative AIs like ChatGPT and Bard, Writer's narrow target market - in which it has already found success - supplies plenty of scope to grow, as AI copyediting tools look set to rapidly become content industry standard. With continued new launches and updates to its offerings as well as an impressive $100 million Series B awarded in 2023, the company is well-placed to seek further success into the future.
Steph
Company Specialist
Insights
Company
Funding (last 2 of 3 rounds)
Sep 2023
$100m
SERIES B
Nov 2021
$21m
SERIES A
Total funding: $126m
Company benefits
- Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA
- Flexible location and schedule options
- Competitive parental leave policy
- Company stock options
- 401k plan with employer contributions
- Learning and development stipend
- Generous PTO
- Distributed from Day 1: Our processes and operating cadence are built around a distributed culture
- SF office space: If you prefer working from an office, we have a beautiful sunny one in Union Square, the heart of San Francisco
Company values
- Connect: Writer’s success depends on the strength of our relationships. We strive to understand and respect each other on a human level.
- Challenge: We don’t shy away from conflicting points of view. The more diverse the perspectives, the better. Each and every Writer contributor is encouraged to question, challenge, and propose ideas across the business.
- Own: Regardless of role, we’re all owners. We strive to create an impactful, enduring company by building processes and owning outcomes.
Company HQ
Union Square, San Francisco, CA
Articles
Leadership
May Habib
(CEO)Harvard economics graduate, who was previously VP of sovereign wealth fund Mubadala Development Company, and a global shaper at the World Economic Forum. Also co-founded Qordoba.
Waseem Alshikh
(CTO)Previously co-founded CloudAppers, then served as CTO at iMENA. Subsequently co-founded AI content editor Qordoba.
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