Platform - ML R&D - Data Scientist

Distributed, EMEA

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Elastic

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Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at elastic.co.

The R&D ML team is responsible for developing and integrating statistical tools and machine learning models across the whole stack. As a Data and LLM Scientist specializing in AIOps, your role will consist of analyzing and collecting data sets, experimenting with LLMs to improve on or imagine new user journeys, come up with prototypes and feature ideas but also ways to test them against the aforementioned collected datasets.

What you will be doing

  • Identify difficulties in our user flows and build prototypes to improve them using ML models, LLMs or other tools based on statistical analysis
  • Curate datasets and design metrics to supervise your progress, track your experiments
  • Compare, optimize LLMs use, explore prompting techniques and fine tuning for better performances
  • Collaborate with cross-functional teams of data scientists and product managers
  • Promote knowledge sharing and collaboration in a distributed team

What you will bring

  • 2+ years of professional software development experience in Python
  • 2+ years of experience as a data scientist with successful track record of prototype exploration, solution testing and port to production.
  • Experience with Generative AI, LLM and prompting.
  • Good attention to detail and highly organized
  • Real passion for data, quality of results and achieving excellence
  • Experience with Elasticsearch is useful

Our Team Style

  • We appreciate eloquent and “low ego” people who want to grow as part of a team.
  • We welcome diversity in all forms. We embrace strange and risky ideas and appreciate characters of all sorts.
  • We hold each other accountable and work to a high standard. We take pride in the frequent, safe and graceful delivery of innovative and valuable features.
  • We embrace open communication and challenge. We appreciate positivity and vigilance and strive for autonomy, trust, and personal and professional growth.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
  • Up to 40 hours each year to use toward volunteer projects you love
  • Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AIOps Elasticsearch Generative AI GitHub LLMs Machine Learning ML models Privacy Prompt engineering Python R R&D Security Statistics Testing

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Transparency

Regions: Remote/Anywhere Africa Europe Middle East