Remote Software Engineer

Summary

Join Dialpad's Ai Engineering team as a Software Engineer Ai Core, working on the development and uptime of Dialpad's proprietary near real-time ML inference system. You'll collaborate with Data Science teams to unleash AI features that work for our customers.

Requirements

• You have a Bachelor’s Degree in Computer Science, Mathematics, Software Engineering, or a related field, or equivalent work experience
• You have strong fundamentals in software engineering and computer science
• You’re excited to work on a distributed team; you value collaboration whether your teammate sits beside you or across an entire continent
• You have strong experience working with one or more dynamically typed programming language(s)
• You have a strong desire to continuously learn
• You enjoy efficient evaluation of a problem space and finding the right tool for the job
• You measure & monitor everything ensuring stability, redundancy, and runtime
• You make data-driven decisions - Measure twice, cut once
• You enjoy learning from your experiences and sharing your knowledge with your team
• You work on diverse problems across different systems
• You appreciate code and system maintainability

Responsibilities

• You'll acclimate and be paired directly with a peer (in addition to your manager) whose job it will be to make sure you have the information and tools you need to be successful
• You'll work primarily with fully asynchronous modern Python, but we are strong believers in using the right tool for the job, making use of other languages where it makes sense to in our stack
• You'll be exposed to Open Source Software. We employ many Open Source technologies to get the job done, and we love to contribute back to those communities. We also maintain Open Source codebases for libraries we’ve created ourselves
• You’ll collaborate. All levels of engineers on the team participate in authoring and reviewing PRs for code changes, and RFCs for more major system changes
• You’ll have the opportunity to deploy code daily on Google Cloud Platform using modern best practices like Kubernetes, Docker, and CI/CD Systems
• You’ll work with the team to continuously learn by constantly evaluating and applying state-of-the-art systems and techniques to ensure we build systems which are fault tolerant and highly scalable
• You’ll build and manage high-performance real-time data pipelines, taking significant ownership of key components of the stack
• You’ll share. Exploring knowledge and findings with teammates is highly encouraged, with weekly opportunities to host or attend learning sessions including members of both Engineering and Data Science teams

Benefits

• Competitive salaries in addition to stock options because each and every Dialer participates in our success
• A values-driven culture that celebrates identity, inclusion and belonging