Machine Learning Engineer, GAI Search Platform - Moveworks
Primary stack
Nice to have's
Job description
About the Position
We are looking for Machine Learning Engineers to join our GenAI Search Platform team at Moveworks. You will be instrumental in enhancing our search-based question answering systems using both traditional machine learning and cutting-edge generative AI technologies. Our team builds conversational search systems to provide instant answers to enterprise users’ questions, combining modern information retrieval with the latest advancements in natural language understanding, including LLMs (large language models).
Responsibilities
- Drive the development of our search platform with new LLM-enabled generative AI features in a fast-paced environment.
- Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise such as security and privacy.
- Collaborate closely with the ranking, product, design, infrastructure, and data science teams to drive our agentic search products to the next generation of capabilities focusing on performance and enterprise readiness.
Requirements
- 3+ years of engineering.
- Passionate about helping product and ranking teams move faster and scale their solutions better in an environment where everyone cares deeply about customer impact and success.
- First-hand experience relevant to search platforms such as traditional information retrieval, search ranking and relevance, recommendation systems, or question answering systems.
- Background in text processing, information retrieval, natural language understanding, or machine learning.
Nice to Have
- Experience with (or desire to learn) large language models, retrieval augmented generation (RAG), and agents.
- Experience in Python. Contributing to mature Python libraries or platform code, including open-source repositories, is a plus.
- Experience in Golang (not required).
We Offer
- Base pay of $139,700 - $216,500, plus equity (when applicable), variable/incentive compensation, and benefits.
- Health plans, including flexible spending accounts.
- 401(k) Plan with company match.
- ESPP, matching donations.
- Flexible time away plan and family leave programs.
About the Company
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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