About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world's leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L'Oreal, Mars, Salesforce, and Vanguard to transform the way they work.
Writer's fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer's state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails.
Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work.
About this role 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. If you are driven by challenges and motivated by the continuous pursuit of innovation, this role offers the opportunity to make a significant impact in a dynamic, fast-paced environment.
Your responsibilities: 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.Is this you? You have professional experience with:Model trainingHuggingface TransformersPytorchvLLMTensorRTInfrastructure as code tools like TerraformScripting languages such as Python or BashCloud platforms such as Google Cloud, AWS or AzureGit and GitHub workflowsTracing and MonitoringFamiliar 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.Preferred skills and experience: 5+ years building core infrastructure.Experience running inference clusters at scale.Experience operating orchestration systems such as Kubernetes at scale.Curious to learn more about who we are and how we operate? Visit us here Benefits & perks Generous PTO, plus company holidays.Medical, dental, and vision coverage for you and your family.Paid parental leave for all parents (12 weeks).Fertility and family planning support.Early-detection cancer testing through Galleri.Flexible spending account and dependent FSA options.Health savings account for eligible plans with company contribution.Annual work-life stipends for:Home office setup, cell phone, internet.Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipend.Company-wide off-sites and team off-sites.Competitive compensation, company stock options and 401k.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. By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.
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