SeniorStaff Data Scientist RAG and Ranking
SeniorStaff Data Scientist RAG and Ranking
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$ 175000 - 230000
1 Vacancy
Job Description
About Glean
Were on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future everyone will work in tandem with expert AI assistants who find knowledge create and synthesize information and execute work. These assistants will free people up to focus on the higherlevel creative aspects of their work.
Were building a system of intelligence for every company in the world. On the surface you can think of it as Google ChatGPT for the enterprise. Under the hood our platform is the connective tissue between AI and knowledge. It brings all of a companys knowledge together understands it at a deep level provides industryleading search relevance over it and connects it to generative AI agents and applications.
Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. Were a diverse team of curious and creative people who want to help each other get big things doneso we can help other teams do the same.
Were backed by some of the Valleys leading venture capitalistsincluding Sequoia Kleiner Perkins Lightspeed and General Catalystand have assembled a worldclass team with senior leadership experience at Google Slack Facebook Dropbox LinkedIn Stripe Rubrik Uber Intercom Pinterest Palantir and others.
Role
Glean is building a worldclass Data Organization composed of data science applied science data engineering and business intelligence groups. This is a data science role based in our Palo Alto headquarters.
At Glean data scientists collaborate with engineering product management and design to
- Define and build data assets e.g. KPI definitions data pipelines and dashboards to measure the performance of AIpowered assistant products for knowledge workers.
- Identify opportunities to improve these KPIs and influence cross functional teams to incorporate associated changes into their roadmaps.
- Create and maintain quantitative frameworks and methodologies e.g. bring more rigor into experiment analyses use statistical modeling to identify leading indicators of user churn & retention.
This specific role will address one or more of the following business domains:
- Define KPIs create data foundations build visualizations and devise techniques to measure the efficacy of Gleans worldleading document indexing retrieval and ranking infrastructure which powers its search and LLMpowered products. Conduct rigorous empirical analyses and influence ML ENG & ENG to improve this infrastructure.
- Collaborate with product management and product ENG teams to improve the way Glean measures interactions with its Search product iterating on our KPIs data foundations dashboards and measurement techniques accordingly. Identifying opportunities and influencing ENG design and product management XFNs to improve valueadd of a users experience with Search vis a vis other LLMbased and general knowledge management products Glean offers.
You will thrive at this role if:
- You have a Bachelors/Masters/PhD degree in Statistics Mathematics or Computer Science or another quantitative field.
- You have 6 years of industry experience 4 for Masters degree holders 3 for PhD degree holders).
- You are concise and precise in written and verbal communication. Technical documentation is your strong suit.
- You are strong at defining good product KPIs/guardrail metrics dashboarding and analysis of raw data to derive strategic insights.
- You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).
- You have experience in writing sourcecontrolled code for pipelines and internal tools for dataoriented decision making.
- Youre strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products internal tools and processes.
- You are proficient in Python.
You are a particularly good fit if:
- You have experience in B2B SaaS.
- You have experience with remote work across large time zone differences.
- You have experience working on ranking problems.
- You are passionate about using AI to improve the productivity of data teams as well as nondata professionals trying to derive more value of their companys data
Benefits
- Competitive compensation
- Medical Vision and Dental coverage
- Flexible work environment and timeoff policy
- 401k
- Company events
- A home office improvement stipend when you first join
- Annual education stipend
- Wellness stipend
- Healthy lunches and dinners provided daily
For California based applicants:
The standard base salary range for this position is $annually. Compensation offered will be determined by factors such as location level jobrelated knowledge skills and experience. Certain roles may be eligible for variable compensation equity and benefits.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
Required Experience:
Staff IC
Employment Type
Full-Time
