MLOps Engineer
Trunk Tools$140,000 - $200,000/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries
Position Overview
- Location Type: Hybrid
- Employment Type: Full-Time
- Salary: Not specified
WriterWriter is a full-stack generative AI platform delivering transformative ROI for leading enterprises. It empowers customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform their work. Writer’s integrated solution utilizes Palmyra, its state-of-the-art LLMs, alongside graph-based RAG and customizable AI guardrails. Founded in 2020 with hubs in San Francisco, New York City, Austin, Chicago, and London, the company employs over 250 people and is seeking builders and scalers to join its mission.
About this Role
As a Platform Engineer, MLOps, you will be critical to deploying and managing infrastructure crucial for AI/ML operations, collaborating with AI/ML engineers and researchers to develop a robust CI/CD pipeline for safe and reproducible experiments. You'll also set up and maintain monitoring, logging, and alerting systems for training runs and APIs, ensuring training environments are available and efficiently managed across multiple clusters, and enhancing containerization and orchestration systems with Docker and Kubernetes. This role requires a proactive approach to maintaining Kubernetes clusters, optimizing performance, and providing operational support for Writer’s software solutions.
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 Writer’s software solutions.
- Measure and optimize system performance, pushing capabilities forward and innovating for continual improvement.
- Provide primary operational support and engineering for multiple large-scale distributed software applications.
Requirements
- (No specific requirements listed in the provided text)
Company Information
- Founded: 2020
- Hubs: San Francisco, New York City, Austin, Chicago, London
- Employees: Over 250
- Recognition: Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine
- Customers: Accenture, Intuit, L’Oreal, Mars, Salesforce, Vanguard
Skills
Kubernetes
Docker
CI/CD
Monitoring
Logging
Alerting
GPU
RAG
LLMs
Containerization
Orchestration
Python
Infrastructure as Code
Writer
AI platform for business process optimization
About Writer
Writer.com provides a platform that uses artificial intelligence to enhance business processes for various clients, including major companies. The platform integrates Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) to tailor AI solutions to a client's specific brand and knowledge. LLMs generate human-like text, NLP helps computers understand human language, and ML enables learning from data. Writer's platform is built on secure, enterprise-grade LLMs called Palmyra, which are designed to be open and transparent, ensuring that client data is never used for training. This allows clients to self-host the models, giving them control and visibility over their data. The platform assists businesses in speeding up processes and generating customized outputs, such as summaries and insights, while adhering to legal and brand guidelines. Writer.com operates on a subscription-based model, where clients pay a recurring fee for access to its features.
San Francisco, CaliforniaHeadquarters
2020Year Founded
$317.1MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees