ServiceNow

Machine Learning Engineer, Agentic AI Systems - Moveworks

ServiceNow • $120K — $160K *
Mountain View, CA 94040In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years experience in software engineering and machine learning.
  • Strong coding skills in Python and/or Golang within a Mac development environment.
  • Deep understanding of model evaluation, particularly in text generation and classification.
  • High standard for data quality, especially in training and evaluation datasets.
  • Knowledge of current deep learning architectures and large language models.
  • Experience working at startup pace with high ownership and agility in a medium-sized tech company.
  • Curiosity to learn across engineering disciplines and stay updated on NLU & AI advancements.

Responsibilities

  • Utilize software engineering and machine learning to deliver high-value products.
  • Tackle complex challenges in conversational agent technologies and architectures.
  • Enhance Moveworks' commitment to responsible AI, ensuring model safety and privacy.
  • Develop and evaluate innovative algorithms and architectures for scalability.
  • Research the latest ML advancements to refine and enhance products.
  • Conduct weekly discussions on new ML research and integrate findings into models.
  • Create systems that prioritize reliability, latency, and user experience in production environments.

Benefits

  • Collaborative work environment with a strong focus on data-driven decision making.
  • Access to cutting-edge tools and resources for machine learning and NLP.
  • Opportunity for high degree of ownership and fast-paced project completion.
  • Supportive of responsible AI practices and data privacy initiatives.
Full Job Description
Job Description

The Role

We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.

As a member of the NLU team, you will have all the tools of modern NLP and NLG at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to fine-tune, evaluate, and serve your own models in production. We are a data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for model training and evaluation.

You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word "performance": not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models.

Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. Your work will impact our team's core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

What you get to do in this role:

  • Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
  • Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
  • Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
  • Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
  • Research and develop innovative, scalable and dynamic solutions to hard problems
  • Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
  • Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code


Qualifications

To be successful in this role you have:

  • Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
  • Ability to solve problems end-to-end with machine learning
  • Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
  • Attention to detail and high standard of data quality for training and especially evaluation datasets
  • Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
  • Knowledge of deep learning architectures and algorithms and leading large language models
  • Desire to work at a startup pace in a medium-sized company with a high degree of ownership
  • Drive to ship product improvements with production-grade code
  • Strong appetite for continuous incremental wins and completing challenging projects fast
  • High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI


Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

About ServiceNow

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations in North America, Europe, the Middle East, Africa, the Asia Pacific, and other countries. The company offers service management solutions, including incident, problem, change, request, and cost management as well as service catalogs; and IT, HR, facilities, and field service management solutions. It also provides IT operations management solutions covering service mapping, delivery, and assurance solutions; business management solutions such as financial management, project portfolio suite, vendor performance management, and performance analytics as well as governance, risk, and compliance; and application development services.

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Join the dynamic team at ServiceNow, a global leader in digital workflow solutions, where innovation and leadership converge to shape the future of work. At ServiceNow, we offer more than just job opportunities; we provide a platform for professional growth and a chance to be part of a culture that values diversity, creativity, and continuous learning.

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Learn more about ServiceNow
Size
16,881 employees
Market Cap
$76.5 billion
Industry
Information Technology
Net Income
$118.5 million
Founded
2004
5 Year Trend
+33.5%
Revenue
$4.5 billion
NASDAQ
NOW
* Ladders Estimates

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