Chalk
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About
Chalk is a data platform for inference, designed to help teams build, deploy, and iterate faster. It offers a feature engine with built-in scheduling, streaming, and caching, composed and queried in real-time. The platform provides a toolchain for LLMs and aims to simplify machine learning infrastructure, enabling data teams to focus on building unique products and models. It supports integrations with various tools and infrastructure, including PostgreSQL, Snowflake, AWS, Google Cloud, Databricks, and Jupyter.
Platform
Task
Features
• monitoring
• data observability
• feature store
• compute
• real-time data pipelines
• train/serve unification
• llm toolchain
• branches
Job Opportunities
Cloud Infrastructure Engineer
Chalk is a data platform for real-time machine learning, offering feature storage, compute, and monitoring. It helps unify training and serving, and provides tools for data observability.
Benefits:
Comprehensive medical, dental, and vision insurance
Flexible Spending Account (FSA), Health Savings Account (HSA
Expert Healthcare Guidance
Retirement savings
15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and the Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk
Experience Requirements:
2+ years experience writing software to automate infrastructure management
Responsibilities:
Write code to automate orchestration and provisioning of infrastructure to execute Chalk technology for Chalk customers and prospects.
Build a platform for managing our hosted platform, and for managing the deployment of Chalk into customer-owned cloud accounts across AWS and GCP
Work closely with our Engineering and Sales teams
Help interview and grow the Engineering team
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Developer Advocate
Chalk is a data platform for real-time machine learning, offering feature storage, compute, and monitoring. It helps unify training and serving, and provides tools for data observability.
Benefits:
Comprehensive medical, dental, and vision insurance
Flexible Spending Account (FSA), Health Savings Account (HSA
Expert Healthcare Guidance
Retirement savings
15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk
Education Requirements:
Bachelor's Degree in Computer Science
Responsibilities:
Showcase Chalk's product through documentation of example products and use cases
Foster engagement within the developer community via online platforms
Serve as a primary contact and cultivate expertise in ML infrastructure
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Machine Learning Engineer
Chalk is a data platform for real-time machine learning, offering feature storage, compute, and monitoring. It helps unify training and serving, and provides tools for data observability.
Benefits:
Comprehensive medical, dental, and vision insurance
Flexible Spending Account (FSA), Health Savings Account (HSA
Expert Healthcare Guidance
Retirement savings
15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk
Experience Requirements:
Technical background including experience writing software or building ML models
2+ years experience of professional backend software engineering experience
Responsibilities:
Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments
Work closely with our Engineering and Sales teams
Act as the the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)
Recommend new products to customers as their business evolves
Help interview and grow the Engineering team
Show more details
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