[Hiring] Sr. Machine Learning Engineer @CrowdStrike

Role Description

CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing AIDR Engineering Team. You will provide engineering support and solutions to a data science group focused on high-throughput, low-latency LLM inferencing. In conjunction with the other engineers and data scientists on the team, you will support LLM post-training, data engineering aligned to rigorous evaluations, and broadly supporting a mission that requires close engineering collaboration with applied data scientists.

Substantively, the team has a big mission: allowing Enterprise users to interact safely and securely with AI applications. This is a front-seat role in designing for the AI age. 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.

What You'll Do

• Innovate with the state of the art machine learning technology to accelerate data science.
• Focus on pragmatic support for fast-moving research and development teams.
• Implement high-quality solutions in support of customer-facing applications at scale.
• Provide in-depth analysis to identify potential vulnerabilities or gaps.
• Construct and maintain data pipelines, and contribute to the training and implementation of custom models.
• Collaborate across various teams to brainstorm, define, and devise solutions.
• Commit to ongoing learning and self-improvement.
• 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.

Tech Stack

• High level coding language such as JVM technologies or Python
• Docker
• Kubernetes
• AWS, GCP, or MaaS
• Kafka, Cassandra, and Spark
• ElasticSearch
• Terraform, Chef, or Ansible
• Experience with scaling inference across GPUs or GPU-clusters

What You'll Need

• Prior work experience doing data engineering and architecture in support of advanced data science use cases.
• A deep understanding of LLM post-training methods and computational architectures.
• Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency.
• Be 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.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points

• Existing, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning.
• Prior experience in the cybersecurity or intelligence fields.

Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe