Staff Applied Scientist

Palo Alto, CA

Full Time Senior-level / Expert
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Organizations rely on Rubrik for resilience against cyber attacks and operational disruptions with automation, fast recovery and easy cloud adoption.
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About Team & About Role:

Our team builds products to address Rubrik's holistic ransomware response strategy. We make it easier and faster to recover from security attacks while providing greater intelligence on how an incident impacted enterprises' global applications and data.
Our engineers are self-starters, driven and can manage themselves. We believe in giving engineers responsibility, not tasks.

Our goal is to motivate and challenge you to do your best work. We encourage each engineer to try out new ideas. A lot of such ideas have become our products. All ideas, whether they are coming from newly graduated students or seasoned engineers, are all respected and valued the same way.

  • You will be part of a dynamic team working on some of the most challenging problems in building large-scale systems. This team is at the forefront of Rubrik’s vision and strategy of becoming a data security company. 
  • You will develop and deploy ML models to detect anomalies in customer’s data.
  • You will actively look for opportunities to apply new machine learning techniques to data security problems.
  • You will create experiments and prototype implementation of machine learning models that apply to product problems, and work with engineers to productionalize the models.
  • You will provide thought leadership, set agenda, identity problems, build consensus, initiate projects and lead the execution from start to finish


  • MS or PhD in Computer Science, Mathematics, Statistics or a related quantitative field
  • 5+ years of experience in developing, deploying, iterating, validating and maintaining ML models.
  • 2+ years of experience in Python, Go, Scala, or Java, including ML related libraries (TensorFlow, MXNext, PyTorch, Scikit-learn, etc)
  • 2+ years in a lead applied scientist role.
  • Strong theory/algorithmic background and understanding on how to apply advanced algorithms to solve real world problems.
  • Superb verbal and written communication and presentation skills and able to convey rigorous concepts to non-experts.


  • PhD in Computer Science, Mathematics, Statistics or a related quantitative field
  • 5+ years of experience after PhD in applying ML techniques to solve complex real world problems
  • Experiences in big data/ETL technologies, e.g, Hive, Spark, Databricks etc.
  • Experiences in workflow management (e.g, Apache Airflow) and creating production ready machine learning components.


About Rubrik:

Rubrik, the Zero Trust Data Security Company™, delivers data security and operational resilience for enterprises. Rubrik’s big idea is to provide data security and data protection on a single platform, including Zero Trust Data Protection, Ransomware Investigation, Incident Containment, Sensitive Data Discovery, and Orchestrated Application Recovery. This means your data is ready so you can recover the data you need, and avoid paying a ransom. Because when you secure your data, you secure your applications, and you secure your business.

We are a leader in data security, have been recognized as as a Forbes Cloud 100 Company, named as a LinkedIn Top 10 Startup and are proud to have earned Great Place to Work® Certification™. There has never been a more exciting time to join Rubrik, and our future is even brighter. The work you do will help propel our next chapter of growth as you do the best work of your career.

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Diversity, Equity & Inclusion @ Rubrik: 

At Rubrik we are committed to building and sustaining a culture where people of all backgrounds are valued, know they belong, and believe they can succeed here.

Rubrik's goal is to hire and promote the best person for the job, no matter their background. In doing so, Rubrik is committed to correcting systemic processes and cultural norms that have prevented equal representation. This means we review our current efforts with the intent to offer fair hiring, promotion, and compensation opportunities to people from historically underrepresented communities, and strive to create a company culture where all employees feel they can bring their authentic selves to work and be successful.

Our DEI strategy focuses on three core areas of our business and culture:

  • Our Company: Build a diverse company that provides equitable access to growth and success for all employees globally. 
  • Our Culture: Create an inclusive environment where authenticity thrives and people of all backgrounds feel like they belong.
  • Our Communities: Expand our commitment to diversity, equity, & inclusion within and beyond our company walls to invest in future generations of underrepresented talent and bring innovation to our clients.
Equal Opportunity Employer/Veterans/Disabled: Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Tags: Airflow Big Data Databricks ETL Machine Learning ML ML models PhD Python PyTorch Scala Scikit-Learn Security Spark Statistics TensorFlow

Perks/benefits: Career development Equity Startup environment

Region: North America
Country: United States
Job stats:  9  1  0
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