We are looking for search infrastructure engineers who are passionate about optimizing scalable indexing workflows, developing machine learning ranking platforms, and building LLM (large language model) powered question answering products. At Moveworks, we build search technology to answer enterprise users’ tech questions instantly, by combining modern information retrieval methodology with the latest advancement in generative AI. Our search has to be highly abstract and applicable to heterogeneous knowledge data sources; our search has to be highly customizable towards diversified needs of our enterprise customers; our search has to be performant while powered by GPT models. These goals can only be achieved with a strong search infrastructure and you will play a crucial role in this focus area.

We’re building a team that indexes on moving fast, solving challenging product/engineering problems and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions.

Who we are

Moveworks is on a mission to make language the universal UI. We give enterprises a conversational interface that works across every system — from Microsoft to Workday to Salesforce. Powered by GPT-class machine learning models, the Moveworks platform learns the unique language of each organization to solve thousands of use cases. Brands like Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks’ proprietary enterprise data, out-of-the-box solutions, and intuitive developer tools to bring conversational automation to all aspects of their business.

Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion. We’ve been named to the Forbes AI 50 list for three consecutive years, while earning recognition as the winner of the 2023 Edison Awards for AI Optimized Productivity, and as the Best Bot Solution at the 2022 AI Breakthrough Awards.

Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Come join one of the fastest growing teams on the planet!

What you will do

• You will design and build scalable indexing systems, and machine learning model serving platforms.
• You will profile and optimize system performance of retrieval and ranking systems.
• You will develop tools, processes and metrics to measure and monitor search quality.
• You will identify, create and/or transform search features to meet the product requirements.

What you bring to the table

• Hands on experience in building machine learning based search, recommendation, or social network systems.
• Academic or work experience in distributed systems, software engineering or data engineering. It’s ok to have no prior academic experience in machine learning or information retrieval.
• First-hand experience in building, scaling and supporting large scale data infrastructure systems in production.
• A BS/MS/PhD in Computer Science or related fields, or equivalent relevant experience.

Nice to have

• Experience in NLP or Information Retrieval related fields.
• First-hand experience in indexing platforms such as ElasticSearch, Solr, Lucene, etc.
• Experience in Golang.

Compensation Range: $100,000 - $249,000

• Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.