Software Engineer, ML Ops

at  Dialpad

SKILLS YOU’LL BRING

• 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, and support continuous improvement
• Fluency in English

Bonus points for experience with:

• The Python ecosystem
• Cloud providers such as Google Cloud Platform or AWS
• git or other version control systems
• Relational and/or non-relational database systems, Pub/Sub, Messaging Systems
• Building and managing batch or streaming data processing pipelines, ETLs

DIVERSITY, EQUITY, AND INCLUSION (DEI) AT DIALPAD

At Dialpad, we are passionate about Doing the Right Thing. This means we are committed to building a values-driven culture that celebrates identity, inclusion and belonging. As a global company, it’s our responsibility to come together to create a culture where all Dialers can Work Beautifully, Delight Our Users, and Innovate Continuously to bring our world-class product to life.
Every Voice Matters at Dialpad. We build community through our Employee Resource Groups, company-wide celebrations, service days, and a robust internal learning & development program focused on the success of our Dialers.
Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

DIVERSITY, EQUITY, AND INCLUSION (DEI) AT DIALPAD

At Dialpad, we are passionate about Doing the Right Thing. This means we are committed to building a values-driven culture that celebrates identity, inclusion and belonging. As a global company, it’s our responsibility to come together to create a culture where all Dialers can Work Beautifully, Delight Our Users, and Innovate Continuously to bring our world-class product to life.
Every Voice Matters at Dialpad. We build community through our Employee Resource Groups, company-wide celebrations, service days, and a robust internal learning & development program focused on the success of our Dialers.
Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

YOUR ROLE

As a Software Engineer ML Ops, you’ll work with the team to own the development and uptime of Dialpad’s proprietary near real-time ML inference system, a large-scale distributed system built by leveraging technologies like Kubernetes, Redis, event-driven message bus systems, modern asynchronous Python, and a plethora of Open Source technologies. You’ll contribute directly to powering Dialpad’s Ai products at scale, working closely alongside the Data Science teams to unleash Ai features that work for our customers.
This position reports to our Engineering Manager, Ai Engineering and has the opportunity to be based in Buenos Aires, Argentina Office, or Fully Remote within the time zones of GMT-8 to GMT-3.