Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Deliver engineering assistance and solutions to a data science team concentrated on high-throughput, low-latency LLM inferencing.

• Facilitate LLM post-training and data engineering in alignment with stringent evaluations.

• Innovate using cutting-edge machine learning technologies to enhance data science initiatives.

• Support dynamic research and development teams.

• Create high-quality solutions for customer-oriented applications at scale.

• Evaluate potential vulnerabilities or shortcomings.

• Build and maintain data pipelines.

• Aid in the training and implementation of custom models.

• Collaborate across various teams to identify and devise effective solutions.

• Employ best practices for code quality, testing, logging, and metrics.

• Enhance product architecture, knowledge models, user experience, performance, and reliability.

• Develop, test, deploy, and monitor changes from start to finish.

• Mentor fellow engineers while learning from teammates.

• Support CrowdStrike's mission of empowering enterprise users to interact safely and securely with AI applications.

⛳️ Requirements

• Previous experience in data engineering and architecture supporting sophisticated data science applications.

• In-depth knowledge of LLM post-training techniques and computational architectures.

• Familiarity with scalability and distributed systems, encompassing sharding, partitioning, and concurrency.

• Comprehensive understanding of engineering best practices, testing paradigms, peer code reviews, and resilient architecture.

• Capability to excel in a test-driven, collaborative, and iterative programming environment.

• Proficiency in delivering high-quality, unit-tested, code-reviewed software regularly checked in for continuous integration.

• Proven track record of utilizing AI technologies to improve decision-making, optimize workflows and processes, enhance efficiency, and drive business results.

• Strong interest in CrowdStrike's cybersecurity mission and readiness to engage with product teams and customers.

• Strong capacity for learning.

• Experience with a high-level programming language such as JVM technologies or Python.

• Familiarity with Docker and Kubernetes.

• Experience with AWS, GCP, or MaaS.

• Knowledge of Kafka, Cassandra, and Spark.

• Experience with Elasticsearch.

• Proficiency in Terraform, Chef, or Ansible.

• Experience in scaling inference across GPUs or GPU clusters.

• Bonus: Demonstrated applied work in scalable architectures for LLM post-training or fine-tuning.

• Bonus: Previous experience in cybersecurity or intelligence domains.

🏝️ Benefits

• Market leader in compensation and equity awards.

• Comprehensive physical and mental wellness programs.

• Competitive vacation and holidays for rejuvenation.

• Paid parental and adoption leave.

• Professional development opportunities for all employees, regardless of level or role.

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to foster connections.

• Vibrant office culture with world-class amenities.

• Bonuses.

• Equity grants.

• Health insurance.

• 401k.

• Paid time off.