Moveworks
Posted 1mo ago

Machine Learning Engineer, Agentic Application

Moveworks
Mountain View, California, United States
$140k-$217k/yrOnsiteFull Time
Responsibilities
  • scaling systems
  • designing APIs
  • optimizing performance
Requirements
  • BSc in computer science or related,2+ years building systems at scale,expertise in API design,performance optimization,tracing/logging,strong communication and cross‑functional collaboration
Technical tools mentioned
Moveworks LiveCreator StudioMSTeamsSlackWebLLMsServiceNow

Job description

Company Description:

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. 

Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award. 

In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.

By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business. 

Come join us!

ServiceNow

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. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description:

What you get to do in this role:

Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system? If so, we invite you to join our Conversation Engine team. At our company, you'll have the unique opportunity to work at the core of Moveworks Generative AI product. Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. As pioneers in enterprise AI, we don't follow a set formula for building the next solution. Instead, we encourage you to bring your innovative ideas and imagination to solve unsolved problems. You'll collaborate closely with machine learning experts and cross-functional teams, rapidly iterating over new ideas, and leveraging user behavior data to make informed decisions. Your challenge will be to scale and optimize our conversation engine to support hundreds of millions of users, across multiple chat channels and use cases, and enhance our end-to-end product infrastructure with the utmost engineering quality and robustness.

  • Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This includes collecting data and feedback, adapting to diverse enterprise use cases and business contexts, and delivering domain-specific conversational experiences.
  • Design scalable API abstractions for our conversation platform, which supports all popular chat clients (for example, MSTeams, Slack, and Web) and offers a neutral API for developing other parts of the engineering system.
  • Optimize the dialog engine to accommodate a wide range of conversational features, leveraging private domain knowledge unique to each enterprise customer in the cloud, and enable real-time multilingual translation. You will achieve this with minimal memory footprint, low latency, and streamlined development process for application engineers.
  • Champion the best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvements among fellow engineers.
  • Provide comprehensive insights and visibility into the performance of our conversational AI product. This involves implementing a robust logging and tracing framework, user-friendly debugging and triaging tools, and automated metrics for efficient monitoring and analysis.
  • Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives.
Qualifications:

To be successful in this role you have:

 

  • A strong foundation in computer science and software engineering, coupled with expertise in building scalable systems.
  • A deep understanding of clean, modular, and scalable API design. You have the ability to champion best coding practices and influence fellow engineers to uphold high standards of code quality and craftsmanship.
  • A passion for optimizing systems and improving performance. You are well-versed in tracing, logging, and metrics frameworks, and possess a systematic approach to quickly identify and resolve latency bottlenecks, race conditions, and throughput limitations.
  • The ability to independently research new requirements and develop innovative solutions. You thrive in an environment of fast-paced coding and execution, embracing rapid iterations to deliver results.
  • Strong communication skills to effectively articulate rationales and design approaches. You have a cross-functional awareness that enables you to collaborate seamlessly with various teams.
  • A bachelor's degree or higher in computer science or a related field, demonstrating your academic foundation in the field.
  • 2+ years of professional development experience, specifically in building systems at scale.

For positions in this location, we offer a base pay of $139,700-216-500, plus equity (when applicable), variable/incentive compensation and benefits.  Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.  Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.  We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.  

  

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.  

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.

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. 

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. 

About Moveworks

Enterprise AI assistant platform that helps organizations automate employee support, search, and workflows.

Year founded
2016
Employees
710
Organization type
Private
Latest investment
Raised $200.00M Series C (2021) — led by Tiger Global, Alkeon Capital
Headquarters
US

Similar jobs

Machine Learning Engineer roles near Mountain View, California
8h
Save
Mark Applied
Hide
Machine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start
San Jose or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
$128k-$317k/yr OnsiteFull Time
TikTok
TikTok: Short-form mobile video and social media platform.
Bachelor's degree in software development, computer science, computer engineering, or related field; machine learning exposure; programming familiarity; strong teamwork and communication skills.
C++, Python, Go, Java, TensorFlow, PyTorch, Hadoop, Spark, Hive, Flink
15h
Save
Mark Applied
Hide
Machine Learning Engineer
San Francisco, California, United States
$260k-$300k/yr OnsiteFull Time
Hyperbound
Hyperbound: Private AI sales-coaching platform helping enterprise revenue teams practice conversations and improve performance.
Own machine learning models end to end, including training, fine-tuning, production deployment, on-device execution, evaluation frameworks, benchmarks, and regression suites.
open source models
17h
Save
Mark Applied
Hide
Senior Machine Learning Engineer
Palo Alto, California, United States
$70-$75/hr RemoteFull Time, Contract
Clera
Clera: AI-powered talent agent matching candidates to startup roles.
8+ YOE8+ years of software engineering and machine learning experience, strong healthcare background, Python and SQL expertise, MLOps, Apache Spark, Databricks, cloud, REST APIs, and HIPAA knowledge.
Python, SQL, Apache Spark, Databricks, Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), MLflow, Docker, Git, REST APIs, Kubernetes, Scala, Azure ML, SageMaker, Vertex AI
1d
Save
Mark Applied
Hide
Machine Learning Engineer, Causal Inference, Level 5
Los Angeles or Seattle or Palo Alto or New York City or Bellevue or Santa Monica or California or Washington or New York
$209k-$313k/yr OnsiteFull Time
Snap Inc.
Snap Inc.NYSE: SNAP: Technology focused on augmented reality and communication.
5+ YOEBachelor’s degree or equivalent experience plus 5+ years in machine learning, or equivalent master’s/PhD pathways; causal inference, experimentation, production modeling, and Python expertise required.
Python, pandas, NumPy, scikit-learn, CausalM, CausalML, EconML, DoWhy
1d
Save
Mark Applied
Hide
Machine Learning Engineer, Causal Inference, Level 5
Los Angeles or Seattle or Palo Alto or New York City or Bellevue or Santa Monica or California or Washington or New York City
$209k-$313k/yr OnsiteFull Time
Snap Inc.
Snap Inc.NYSE: SNAP: Technology focused on augmented reality and communication.
5+ YOEBachelor’s degree or equivalent practical experience and 5+ years of post-bachelor’s machine learning experience, or equivalent master’s/PhD pathways, with causal inference and experimentation expertise.
Python, pandas, NumPy, scikit-learn, CausalML, CausalM, EconML, DoWhy
1d
Save
Mark Applied
Hide
Senior Machine Learning Engineer
Sunnyvale, California, United States
$202k-$224k/yr HybridFull Time
Uber Technologies, Inc.
Uber Technologies, Inc.NYSE: UBER: Global technology platform for ride-hailing, delivery, and freight logistics.
4+ YOE4+ years in ML or robotics, bachelor's degree in computer science, computer engineering, or related field, Python and Linux proficiency, and familiarity with modern AI/ML frameworks. Autonomous driving experience preferred.
Python, Linux, PyTorch, C++
1d
Save
Mark Applied
Hide
Machine Learning Engineer
Somerville or United States or Boston or San Francisco or Seattle or New York City or Austin
$170k-$200k/yr HybridFull Time
Modulate
Modulate: Privately held voice-AI serving enterprises with audio intelligence for fraud, compliance, and safety.
Requires machine learning research and production experience, strong Python and PyTorch skills, experiment design, model evaluation, cross-functional collaboration, and clear technical communication.
Python, PyTorch, AWS, MLOps, ASR, TTS
1d
Save
Mark Applied
Hide
Machine Learning Engineer II, Responsible AI
San Francisco or United States
$139k-$286k/yr HybridFull Time
Pinterest
PinterestNYSE: PINS: A visual discovery engine for finding inspiration.
2+ YOEAdvanced machine learning production experience, responsible technology expertise, familiarity with transformer models, 2-tower architectures, LLMs, large-scale search and recommender systems, and 2+ years building ML-driven products.
Transformer, LLM, Cursor, Copilot, Codex, SQL