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Search - Workchat - Principal Data Scientist
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role:
The Search Data Science team is responsible for developing and integrating statistical tools and machine learning models within the Search domain in support of semantic search, RAG, agentic search, and chat applications. As a Data Scientist in this area, you will work closely with our Product teams to lead the innovation, incubation, and prototyping phases of how to evolve and transform our AI/ML driven Search experiences and solutions with a focus on quickly bringing new ideas to production and into the hands of our customers. Your primary focus will be driving forward research and development in support of improving semantic search with proprietary models and customized open source models, developing techniques and models for query and document understanding, implementing RAG and LLM-driven search experiences, and developing tooling to help customers design and implement successful end-to-end RAG systems. Furthermore, you’ll be investigating aspects of modern agentic search including reasoning engines, prompt engineering techniques, query understanding, and more. Doing this requires exploring and benchmarking new open source models, and existing proprietary Elastic models, while keeping up to date with the latest major advancements in the fields of NLP and information retrieval.
What You Will Be Doing:
- Explore, select and benchmark open source and Elastic proprietary models
- Implementing RAG and other LLM-based search experiences
- Designing evaluation protocols for semantic search, tool selection, and generation in LLM-based search experiences
- Keeping up-to-date with the most significant recent developments in the field of NLP and information retrieval
- Engage with the NLP and information retrieval communities (blogs, documentation, Python examples, conference talks, academic papers, etc.)
- Collaborate with cross-functional teams of data scientists, engineers, and product managers
- Promote knowledge sharing and collaboration in a distributed team
What You Will Bring:
- 8+ years of confirmed experience building and applying NLP to production use cases
- 8+ years of professional software development experience in Python
- Experience in Generative AI, Retrieval Augmented Generation, and information retrieval
- Experience with libraries and frameworks such as PyTorch, transformers, and Pandas
- Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing
- Expertise in AI/ML quality evaluation and improvement, including balancing tuning techniques with cost/benefit tradeoffs
- Self motivated, collaborative style, open communicator, experience in a distributed team
- Good attention to detail and highly organized
- Real passion for data, analysis and achieving excellence
- Experience with Elasticsearch is useful
- An academic background in the domain is also a plus
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.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
The typical starting salary range for this role is:
$128,300 - $203,000 CAD
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.
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