Data Scientist (Palo Alto) Job at Glean Technologies, Inc., Palo Alto, CA

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  • Glean Technologies, Inc.
  • Palo Alto, CA

Job Description

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 higher-level, 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 industry-leading 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.

We're backed by some of the Valley's leading venture capitalistsincluding Sequoia, Kleiner Perkins, Lightspeed, and General Catalystand have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, LinkedIn, Stripe, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.

Role

Glean is building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups. This is an applied science role based in our Palo Alto headquarters. It covers a subset of:

Ranking & RAG:

  • Define KPIs, create data foundations and build visualizations to measure the efficacy of Gleans world-leading document indexing, retrieval, ranking infrastructure, which powers its search and LLM-powered products, as well as other ways of content personalization such as ranking agents in an agent library.
  • Conduct rigorous empirical analyses rooted in sophisticated techniques and a deep understanding of our ranking stack to identify & prototype ways to improve ranking at Glean. ML ENG teams would iterate & deploy these techniques into production.
  • Collaborate with product data science and engineering teams to identify techniques, tooling and process improvements in online A/B experimentation to assist rigorous decision making across all relevant product domains.
  • Develop and maintain our A/B experimentation platform based on stakeholder feedback
  • Write code or identify vendors to deploy these techniques to production in a scalable manner thats easy to use by engineering, product data science, product management and design teams

Generative AI evaluation:

  • End to end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results.
  • Breaking down end to end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design.
  • Design, development and ownership of best practices, tools and processes across various evaluation problems, e.g. query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, industry benchmarking.

You will thrive at this role if:


You have a Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.

  • You have 5+ years of experience as a Masters degree holder, 3+ as a PhD degree holders
  • Youre strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools and processes in a pragmatic way that puts business urgencies first.
  • You are very proficient in Python, e.g. proficient enough to maintain an internal source-controlled library used by dozens of others.
  • You are concise and precise in written and verbal communication. Technical documentation is your strong suit.
  • You are proficient in SQL and the modern data stack (e.g. source-controlled dbt pipelines for ETL/ELT).
  • You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.

You are a particularly good fit if:

  • You have experience in B2B SaaS.
  • You have experience working on ranking, developing and maintaining A/B experimentation platforms and/or ML measurement problems.
  • You are passionate about using AI to improve the productivity of data teams as well as non-data professionals trying to derive more value of their companys data.
  • Competitive compensation
  • Medical, Vision and Dental coverage
  • Flexible work environment and time-off 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 $175,000 - 230,000 annually. Compensation offered will be determined by factors such as location, level, job-related 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. We're 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.

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For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Gleans Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A disabled veteran is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

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We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. ]]> <

Job Tags

Full time, For contractors, For subcontractor, Work at office, Home office, Flexible hours, Monday to Friday,

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