Principal Data Scientist, Elastic
Search, Workchat
CA$128.3-203k
This role is currently eligible to participate in Elastic's stock program
Software that searches and analyses data in real time
Be an early applicant
Software that searches and analyses data in real time
1001+ employees
Be an early applicant
CA$128.3-203k
This role is currently eligible to participate in Elastic's stock program
1001+ employees
Company mission
To build software to make data usable in real-time and at scale for search, logging, security, and analytics use cases.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Elastic develops the Elastic Stack, an open-source set of tools that includes Elasticsearch, Kibana, Beats, and Logstash, designed for data search and analysis. It also offers X-Pack, which adds commercial features to the Elastic Stack, and Elastic Cloud, a suite of SaaS (Software-as-a-Service) products.
This technology is widely used by major companies like eBay, Wikipedia, Yelp, Uber, Lyft, Tinder, and Netflix, along with over 17,000 other organizations. It is applied in various use cases, including application and website search, enterprise search, logging, infrastructure monitoring, application performance management (APM), security analytics (enhancing SIEM applications), and business analytics.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations
- Craft your calendar: Flexible location and schedule for most roles
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent)
Company HQ
Union Square, San Francisco, CA
Leadership
Shay Banon
(Co-Founder & CTO)Previously held the position of Technology Director at GigaSpaces Technologies.
Simon Willnauer
(Co-Founder)Previously spent 13 years at The Apache Software Foundation, holding various positions such as VP Apache Lucene and Lucene Core Commiter and PMC Member.
Uri Boness
(Co-Founder)Previously worked as a Software Architect and Head of Search at Orange11 for 7 years.
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