Sr. Cloud ML Engineer (Remote) @ CrowdStrike

Job Information

Job Description:

What You’ll Do:

Innovate with Large Language Models to develop and refine Charlotte AI’s capabilities.
Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and implementation of custom LLMs.
Collaborate with teams of Data Scientists, Data Engineering, Product and Cloud Engineering in order to build and evolve the LLM Ops platform for LLM improvements.
Improve backend microservices, pinpointing and addressing critical concerns to implement effective solutions.
Employ established CrowdStrike tools and services to build cloud solutions for detecting and countering targeted cyber assaults.
Collaborate across various teams to brainstorm, define, and devise solutions.
Stay attuned to our customers’ challenges, always seeking ways to enhance support.
Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.
Work within a collaborative and agile team environment.
Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.
Constantly explore ways to refine product architecture, knowledge models, user experience, performance, and reliability.
Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.
Thrive in an environment that highly values trust.

Technical Stack (comprehensive knowledge is not required; a strong aptitude for continuous learning is vital):

What You’ll Need:

Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)
Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc
Prior experience with Large Language Models or other Machine Learning based products, or willingness and interest to learn about those
Being a team player
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a test-driven, collaborative, and iterative programming environment.
The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
Commitment to ongoing learning and self-improvement.

Bonus Points:

Benefits:

Remote-first culture
Market leader in compensation and equity awards
Competitive vacation and flexible working arrangements
Comprehensive and inclusive health benefits
Physical and mental wellness programs
Paid parental leave, including adoption
A variety of professional development and mentorship opportunities
Offices with stocked kitchens when you need to fuel innovation and collaboration

Experience Level: Junior/Associate
Work From: Remote from Region United States of America