Engineer III - Machine Learning Platform (Hybrid)

8 Minutes ago • 10 Years + • Research Development

Job Summary

Job Description

As an engineer in this team, you will play an integral role as we build out our ML Platform & GenAI Studio from the ground up. This platform is critical for Crowdstrike in its fight against bad actors, especially with the increase in phishing attacks. You will collaborate with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines for Data Preparation, Cataloguing, Feature Engineering, Model Training, and Model Serving. The role involves building a platform that scales to thousands of users, offers self-service capabilities for ML experimentation, training, and inference pipelines, and leverages workflow orchestration tools and cloud services like Kubernetes.
Must have:
  • Help design, build and facilitate adoption of a modern ML platform including support for use cases like GenAI.
  • Understand current ML workflows, anticipate future needs and identify common patterns for templatization.
  • Build a platform that scales to thousands of users and offers self-service capability.
  • Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines.
  • Champion software development best practices around building distributed systems.
  • Leverage cloud services like Kubernetes, blob storage, and queues in a cloud-first environment.
  • Develop and deploy machine learning solutions to production.
  • Experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray.
  • Experience building data platform products or features with Apache Spark, Flink or comparable tools.
  • Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow).
  • Production experience with infrastructure-as-code tools such as Terraform, FluxCD.
  • Expert level experience with Python.
  • Expert level experience with containerization frameworks.
Good to have:
  • Go
  • Iceberg
  • Pinot or other time-series/OLAP-style database
  • Jenkins
  • Parquet
  • Protocol Buffers/GRPC
  • Java/Scala exposure
Perks:
  • Remote-friendly and flexible work culture
  • 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

Job Details

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role

As an engineer in this team, you will play an integral role as we build out our ML Platform & GenAI Studio from the ground up. Since the launch of ChatGPT, # Phishing attacks has increased by 138% and hence the ML platform is a critical capability for Crowdstrike in its fight against bad actors. For this mission we are building a team in Bangalore. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloguing, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. You’ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modelling attack paths for IT assets.

Candidates must be comfortable to visit office once a week

What You’ll Do:

  • Help design, build and facilitate adoption of a modern ML platform including support for use cases like GenAI
  • Understand current ML workflows, anticipate future needs and identify common patterns and exploit opportunities to templatize into repeatable components for model development, deployment, and monitoring
  • Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation, training and inference pipelines
  • Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines
  • Champion software development best practices around building distributed systems
  • Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment

What You’ll Need:

  • B.S. /MS in Computer Science or a related field and 10+ years related experience; or M.S. with 8+ years of experience;
  • 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning workflows from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labelled data is created and used
  • 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray etc.
  • Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools
  • Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.)
  • Production experience with infrastructure-as-code tools such as Terraform, FluxCD
  • Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools
  • Expert level experience with containerization frameworks
  • Strong analytical and problem solving skills, capable of working in a dynamic environment
  • Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes.

Bonus Points:

Critical Skills Needed for Role:

  • Distributed Systems Knowledge
  • Data/ML Platform Experience

Experience with the Following is Desirable:

  • Go
  • Iceberg (highly desirable)
  • Pinot or other time-series/OLAP-style database
  • Jenkins
  • Parquet
  • Protocol Buffers/GRPC

#LI-DP1

#LI-VJ1

Benefits of Working at CrowdStrike:

  • Remote-friendly and flexible work culture
  • 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

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

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About The Company

CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world’s leading businesses into the headlines could not be solved with existing malware-based defenses. Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There’s much more to the story of how Falcon has redefined endpoint protection but there’s only one thing to remember about CrowdStrike: We stop breaches.
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