Software Engineer, ML Infrastructure

April 20

Instabase

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The Automation Platform for Unstructured Data Instabase is democratizing access to deep learning to empower any organization to solve unstructured data problems with unprecedented accuracy$1. .$1

Document Understanding • Deep Learning • Automation • Enterprise Software • SaaS

201 - 500

💰 $105M Series B on 2019-10

Description

• Our Engineering Team architects the underlying core services, platform infrastructure, dev toolkits, core algorithms, machine learning models, packaged end-user apps, and app store marketplace. Instabase engineers are excited to solve hard problems for complex organizations and are self-starters from day one. As part of our Machine Learning Infrastructure Team, you’ll design and develop the next generation of machine learning products at Instabase. We are bridging the human-machine gap in ML, enabling humans to understand, debug, and fine-tune models, all the while deploying and managing these models at large scales (millions of requests per month). • As a Software Engineer working on Instabase products, you’ll build intuitive applications that empower our customers to leverage the latest technologies in AI/ML to tackle their hardest document understanding problems. Our tools and platform shine when facing highly unstructured documents. Our infrastructure is written in Go, Python and operates using the micro-services model. We use Docker and Kubernetes for our deployments. • What you'll do - Design and implement architectures for using, testing, and training models at scale, both in the cloud and on customer premises using Kubernetes. - Design and develop and contribute to scalable distributed systems infrastructure that power the ML/AI infrastructure. - Dive into the complexities of real-time data processing and develop strategies to ensure that our systems can efficiently handle the dynamic outputs of generative AI models. - Design and implement best practices for model management and deployment. - Create products around models that make it easy for the customer to use and understand machine learning models and approaches. - Work with both internal and external developers / data scientists to bring models into Instabase that are then used by customers to solve use cases. - Troubleshoot production issues and contribute to improving our platform stability.

Requirements

• You have 3+ years experience as a software engineer. • You enjoy thinking about how the end user / customer interacts with and understands models. • You like getting to the bottom of deep, complex problems. You aren’t satisfied with “it works” until you understand why. • You are familiar with both distributed systems and data science, and enjoy thinking about how the two are built together. • You have experience with proper software engineering best practices. • Experience with Kubernetes, existing ML scaling techniques and model training/serving technologies like AnyScale Ray, vLLM, AWS Sagemaker preferred • Experience with machine ]learning (ML) and artificial intelligence (AI) in the space of document understanding preferred

Benefits

• For Colorado-based roles: The minimum salary for this role is $_____ + bonus, equity, and healthcare, retirement, and paid time off benefits. • For New York-based roles: The salary range for this role is $_____ to $______. • 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service • US benefits