ServiceNow

Senior Machine Learning Engineer, Agentic Systems - Moveworks

ServiceNow$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Machine Learning, Infrastructure, or related fields
  • Proficient in deep learning frameworks like PyTorch or Hugging Face
  • Experienced in building and scaling end-to-end machine learning systems
  • Skilled in developing scalable microservices and ETL pipelines
  • Proficient in Python and familiar with languages like C++ or GoLang
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent field
  • Strong communicator with cross-functional collaboration experience

Responsibilities

  • Design and optimize scalable ML infrastructure for LLMs
  • Automate various steps in machine learning workflows
  • Collaborate with cross-functional teams to develop new features
  • Implement best practices in ML and data engineering

Benefits

  • Flexible work personas including remote options
  • Trust-based approach to distributed work
  • Opportunity to impact customer AI experiences
  • Involvement in cutting-edge ML technology and research
Full Job Description
Job Description

The Role

We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM's at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems. The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency optimization, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms.

In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation.

What you get to do in this role:

  • Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
  • Build abstractions to automate various steps in different ML workflows
  • Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
  • Leverage your experience to drive best practices in ML and data engineering


Qualifications

To be successful in this role you have:
  • 5+ years of industry experience in Machine Learning, Infrastructure or related fields
  • Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
  • Experience with building and scaling end-to-end machine learning systems
  • Experience building scalable micro services and ETL pipelines
  • Expertise in Python and experience with performant language such as C++ or GoLang
  • Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
  • A love of research publications in the machine learning and software engineering communities
  • Effective communicator with experience collaborating cross-functionally with other teams


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

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