Sr. Cloud ML Engineer (Remote)

Key Skills

Aartificial intelligence, Algorithms, Apache Cassandra, Apache Kafka, AWS, Cloud computing, Data Engineering, Data science techniques, Data structuring, Docker, Elasticsearch, Git, GoLang, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, Python Programming, REDIS

Job Description

CrowdStrike is looking for a Sr. Cloud ML Engineer to join the Charlotte AI LLM Ops Engineering Team. Our new colleague will be responsible for building the LLM Ops platform which provides data scientists, software engineers, product managers and other team members with a collaborative environment that facilitates iterative data exploration and annotation for training purposes, as well as experimentation, models evaluation and monitoring of Large Language Models. You are going to develop and maintain the LLM Ops platform which facilitates continuous improvements of CrowdStrike’s Charlotte AI assistant product. Prior experience with Golang and LLMs is not required, but will be helpful.

CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

The Platform:

Falcon is the CrowdStrike platform purpose-built to stop breaches via a unified set of cloud-delivered technologies that prevent all types of attacks — including malware and much more. Today’s sophisticated attackers are going “beyond malware” to breach organizations, increasingly relying on exploits, zero days, and hard-to-detect methods such as credential theft and tools that are already part of the victim’s environment or operating system, such as PowerShell. CrowdStrike Falcon responds to those challenges with a powerful yet lightweight solution that unifies next-generation antivirus (NGAV), endpoint detection and response (EDR), intelligence, managed capabilities and security hygiene — all contained in a tiny, single, lightweight sensor that is cloud-managed and delivered.

About the Product:

CrowdStrike has pioneered the use of artificial intelligence (AI) since we first introduced AI-powered protection to replace signature-based antivirus over 10 years ago, and we’ve continued to deeply integrate it across our platform since.

Using the recent advances in Large Language Models technologies, CrowdStrike introduced Charlotte AI, a new generative AI security analyst. It uses the world’s highest-fidelity security data and it is seamlessly integrated with CrowdStrike’s industry-leading threat hunters, managed detection and response operators, and incident response experts. Charlotte AI engine represents a first of its type offering empowering users of all skill levels to leverage the data available in the Falcon Platform,while reducing security operations complexity and cost.

Learn more about Charlotte AI: https://www.crowdstrike.com/products/charlotte-ai/

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):

• AWS (SageMaker, Bedrock)

• Go (Golang)

• Python

• Docker

• Kubernetes

• Redis / S3 / EC2 / IAM

• Kafka

• GIT

• Cassandra

• ElasticSearch

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:

• Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch

• Experience with Language Models, Data Science, Data Engineering

• Prior experience in the cybersecurity or intelligence fields

LI-Remote

LI-DM1

Benefits of Working at CrowdStrike:

• Remote-first culture

• Market leader in compensation and equity awards with option to participate in ESPP in eligible countries

• Competitive vacation and flexible working arrangements

• Physical and mental wellness programs

• Paid parental leave, including adoption

• A variety of professional development and mentorship opportunities

• Access to CrowdStrike University, LinkedIn Learning and Jhanna

• Offices with stocked kitchens when you need to fuel innovation and collaboration

• Birthday time-off in your local country

• Work with people who are passionate in our mission and Great Place to Work certified across the globe

We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.

CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact Recruiting@crowdstrike.com​, for further assistance.