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Experience Level
Senior
Qualifications
The ideal candidate will possess:A strong foundation in machine learning algorithms and techniques. Experience with programming languages such as Python, Java, or C++. Proficiency in data analysis and statistical modeling. Exceptional problem-solving skills and the ability to work in a fast-paced environment. Excellent communication skills, with a knack for explaining complex concepts to non-technical stakeholders.
About the job
Join our dynamic team at Moveworks as a Senior Staff Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to develop and enhance agentic systems that transform the way organizations interact with their customers. You will work alongside a talented group of engineers and data scientists to create innovative solutions that improve user experiences.
About ServiceNow
ServiceNow is a leading enterprise cloud company that empowers organizations to manage their digital workflows. With a commitment to innovation and customer satisfaction, we strive to create a workplace that fosters collaboration and creativity.
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Search for Senior Staff Machine Learning Engineer Agentic Systems At Moveworks
The RoleAre you a talented software engineer eager to leverage your extensive experience in developing and enhancing production systems at the forefront of AI technology? If so, we invite you to consider our Staff Software Engineer position on the Natural Language Understanding team within our 'agent lab'. In this pivotal role, you will contribute significantly to our mission of extending the capabilities of AI agents to execute tasks reliably on a large scale.As part of the Moveworks AI Assistant platform, you will lead the innovation in areas such as agent orchestration, sandboxed file systems, latency optimization, agent memory, and the advancement of LLMs (Large Language Models). Our team thrives on rapidly developing scalable infrastructure and tackling complex product and engineering challenges to maximize value for our customers. If you aspire to achieve the pinnacle of your career while working with a passionate and impactful team, we would love to connect with you.What You Will Do:Lead and tackle challenging engineering projects to create and enhance dependable AI agent systems.Define and implement cutting-edge distributed systems, ensuring their scalability and production readiness, while integrating the latest advancements in machine learning and AI.Set technical direction and influence the engineering roadmap to deliver enduring value to our clients.Establish high standards for code quality, including robustness, extensibility, and performance.Collaborate with senior experts across various domains, including machine learning, security, product development, and customer success, to build world-class enterprise AI solutions.Mentor and develop team engineers, focusing on technical design, execution, and excellence.Work closely with machine learning engineers to define and develop end-to-end architecture for outstanding AI systems.
Join our dynamic team at Moveworks as a Senior Staff Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to develop and enhance agentic systems that transform the way organizations interact with their customers. You will work alongside a talented group of engineers and data scientists to create innovative solutions that improve user experiences.
The Role Are you an accomplished software engineer eager to apply your expertise in a pioneering environment focused on AI agents? If so, this opportunity might be the perfect fit for you. As a senior software engineer on our innovative 'Agent Lab' team, specializing in Natural Language Understanding, you will significantly contribute to our mission: to expand the scope of tasks that can be reliably performed by agents at scale. You will have the chance to shape the future of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools in enterprise AI, including top-tier LLMs from providers such as OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling complex product and engineering challenges, and maximizing the value delivered to our customers. If you're looking to create meaningful impact alongside a talented, dedicated, and mission-driven team, we would love to discuss this opportunity with you. What You Will Do: Confront exciting and complex engineering challenges to develop and enhance robust AI agent systems that demonstrate reliability in all aspects. Implement leading-edge AI algorithms and architectures, ensuring their successful deployment at scale. Leverage the latest advancements in machine learning, LLMs, and AI agents to enrich our products and deliver exceptional user experiences. Contribute to the product roadmap and drive the development of engineering areas with increasing scope and significance, creating lasting value for our customers. Refine your skills in writing clean, extensible, readable, and high-performing code. Collaborate with subject matter experts across various departments, including machine learning, security, product, user experience, and customer success, to share knowledge and build the most exceptional enterprise AI product. Mentor fellow engineers on best practices for building, maintaining, and evolving high-quality software. Work closely with machine learning engineers, fostering a collaborative environment to build world-class AI systems. What You Bring To The Table: 2+ years of experience in designing, building, and enhancing production systems, preferably at scale. Strong analytical skills with the ability to clearly articulate complex engineering problems and systems. Proficient in programming languages and frameworks relevant to the development of AI systems. A passion for learning and staying updated with the latest trends in AI and software engineering.
Role Overview Join our innovative team at Moveworks as a Senior Machine Learning Engineer specializing in search relevance. In this pivotal role, you will enhance our state-of-the-art question-answering platform that leverages advanced information retrieval methodologies and cutting-edge natural language understanding technologies. Your contributions will significantly improve the quality of responses provided to enterprise users seeking instant solutions to their tech-related inquiries. At Moveworks, we prioritize rapid problem-solving and delivering exceptional value to our customers. Collaborating closely with product managers, user experience designers, customer success teams, and fellow engineers, you will conceptualize, define, and implement elegant solutions that address complex challenges in search technology. Create and refine ranking features to improve relevance metrics. Develop an algorithmic framework to support a variety of ranking features. Design platforms and tools that facilitate parallel ranking experiments. Establish metrics to assess ranking performance effectively.
The Role Join our innovative team as a Software Engineer specializing in Agentic AI Systems as a new graduate. If you have developed your programming expertise through internships, research, or academic projects and are eager to apply your skills at the forefront of AI technology, we encourage you to consider this exciting opportunity. As a valued member of our Natural Language Understanding team within the 'agent lab', you will contribute significantly to our mission of enhancing the capabilities that agents can reliably perform at scale. Your work will involve advancing the Moveworks AI Assistant platform in areas including agent orchestration, sandboxed file systems, latency optimization, agent memory, LLM self-improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with state-of-the-art enterprise AI tools, including leading LLMs from providers like OpenAI, you will engage in rapid development on scalable infrastructure, tackle challenging engineering problems, and maximize the value we deliver to our customers. If you are excited about making a meaningful impact alongside a dedicated team, we would love to hear from you. What You Will Do: Engage in engineering challenges to build and enhance robust AI agent systems. Implement cutting-edge AI algorithms and architectures, collaborating closely with senior engineers to ensure scalability. Leverage the latest advancements in machine learning, LLMs, and AI to enhance our products and create exceptional user experiences. Contribute to projects that generate lasting value for our clients. Refine your skills in writing efficient, maintainable, and high-performance code. Collaborate with experts across various domains, including machine learning, security, product management, user experience, and customer success, to create the premier enterprise AI product. Learn from and work with senior engineers and machine learning experts to develop world-class AI systems.
Moveworks seeks a Senior Machine Learning Engineer to advance the GAI search relevance system. This position is based in Mountain View and centers on improving how users find information on the platform. Key Responsibilities Partner with fellow engineers to design and implement solutions that raise the quality of search results. Work on projects aimed at making the user experience smoother and supporting operational goals. Collaboration and Influence This role involves working alongside engineers who prioritize careful problem-solving and practical improvements. The work directly shapes how users engage with Moveworks’ technology.
What You'll Be DoingJoin Moveworks as a Senior Machine Learning Engineer focused on developing advanced ML infrastructure for deploying and managing Large Language Models (LLMs). This pivotal role involves the design, optimization, and scaling of comprehensive machine learning systems that drive our AI solutions. The ML Infrastructure team is responsible for a range of critical functions, including distributed training and inference pipelines, model evaluation, and latency optimization for LLMs. Our work supports numerous ML and NLP models currently in production, impacting millions of enterprise users. You will tackle real-world challenges related to service scalability and algorithm optimization.Your collaboration with our machine learning team, data infrastructure team, and various cross-functional experts will directly enhance our customers' AI experience. This is an opportunity to play a vital role in the long-term scalability of our core AI product and the success of the company. If you seek a high-impact, fast-paced environment to elevate your career, we want to hear from you!Design, develop, and enhance scalable machine learning infrastructure for training, evaluating, and deploying LLMs.Create abstractions to automate diverse steps in various ML workflows.Collaborate with interdisciplinary teams of engineers, data analysts, machine learning specialists, and product managers to introduce innovative features.Utilize your expertise to promote best practices in machine learning and data engineering.
Join Moveworks as a Senior Machine Learning Engineer and become a pivotal part of our innovative team dedicated to transforming customer experiences through advanced AI solutions. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms that drive our AI systems forward. Collaborate with cross-functional teams to understand user needs and enhance our product offerings.
As the Engineering Manager for the Machine Learning Infrastructure team, you will lead the charge in developing a state-of-the-art platform that underpins Moveworks' conversational AI capabilities. This pivotal role is essential for the long-term scalability of our flagship AI product and the overall success of the company.Your primary responsibility will be to oversee a team of skilled engineers dedicated to constructing, optimizing, and expanding the comprehensive systems that facilitate the entire ML/LLM lifecycle. This encompasses our infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. You will shape the technical direction of the team, harmonizing the operational requirements of our core ML infrastructure with innovative research to create the next generation of LLMs utilizing advanced generative AI.The frameworks your team creates will form the backbone for all ML models deployed in production, serving hundreds of millions of enterprise employees. Your efforts will significantly influence the evolution of the Moveworks Enterprise Copilot platform and the trajectory of AI-driven employee services.
About the RoleMoveworks is seeking experienced Senior and Staff Engineers to enhance our Generative AI Search Platform. Join our dedicated team as we innovate on search-based question answering systems by integrating traditional machine learning methods with the latest advancements in generative AI technologies. Our goal is to construct conversational search systems that deliver immediate responses to enterprise user inquiries.As part of the Search Platform team, you will lead efforts to refine our search capabilities, collaborating closely with ranking, product, design, infrastructure, and data science teams. Together, we aim to elevate our agentic search products to new heights of performance and enterprise readiness.At Moveworks, we value a fast-paced, problem-solving culture that prioritizes providing exceptional value to our customers. Your role will involve working with diverse teams to identify, define, and implement elegant solutions that meet user needs.Design robust abstractions to empower ranking and product teams to effectively contribute to the codebase.Develop algorithmic frameworks for various conversational search applications, including multi-turn, multi-hop question answering systems.Lead the evolution of our search platform by integrating new LLM-enabled generative AI features, ensuring scalability, quality, security, and privacy.Create systematic evaluation metrics and methodologies for our search models, utilizing LLMs to solve unique enterprise challenges.As a technical leader, foster a high-performing, inclusive team environment while mentoring engineers at various levels.Contribute to our hiring processes and help grow our engineering team.
As a pivotal leader of a dynamic team of search relevance engineers, your primary mission will be to assess and enhance the ranking and relevance of our AI-driven enterprise search applications. These applications harness the power of large language models (LLMs), necessitating your expertise in evaluating and optimizing RAG-based objectives such as summarization, groundedness of responses, and citation accuracy and completeness. You will steer the team through the comprehensive development of machine learning models, encompassing data synthesis, feature engineering, experiment design, evaluation, and more. Your team's work will be fundamental in refining our search relevance systematically as we expand to new clients, diverse data types, and unique use-cases, ultimately ensuring the ranking quality across all our enterprise search products. Your team’s commitment to search quality is vital to the success of the company’s search product lines, with performance gauged by its enabling capabilities. You will empower your team members by facilitating rapid iterations on model enhancements, enabling them to refine ML metrics while understanding performance trade-offs and generalizability. You will oversee the team’s technical direction, manage project timelines, and ensure the resilience, efficiency, and innovation of our machine learning-based search systems. Collaboration with search infrastructure and platform engineers, as well as partnerships with product, design, and customer success teams, will be essential in achieving our business objectives.
Join Moveworks as a Staff Machine Learning Engineer in the Agentic Systems team, where you will play a pivotal role in developing cutting-edge AI solutions to enhance user experiences. Your expertise will contribute to building intelligent systems that leverage machine learning to drive efficiency and innovation.As a key member of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize machine learning algorithms that solve real-world problems. You will have the opportunity to work on exciting projects that push the boundaries of what’s possible with AI.
Join Our Team as a Senior Software Engineer II!Are you ready for an exhilarating challenge? Imagine being at the forefront of a transformative Generative AI product that delivers immediate assistance to enterprise users. If you're intrigued by the prospect of applying abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system, we want you on our Conversation Engine team. Here at Moveworks, you'll have a unique opportunity to work at the heart of our Generative AI product, focusing on scaling and optimizing it to meet the increasing demands of the enterprise landscape.As pioneers in enterprise AI, we encourage your innovative ideas and creativity to tackle unsolved challenges. You'll collaborate with machine learning experts and cross-functional teams, rapidly iterating on new concepts and leveraging user behavior data for informed decision-making. Your mission will be to scale and enhance our conversation engine to support hundreds of millions of users across various chat channels and use cases while ensuring the highest engineering quality and robustness.Develop a comprehensive product infrastructure with intuitive interfaces to enable engineers and configurators to easily customize and optimize generative AI models, adapting to diverse enterprise use cases and delivering domain-specific conversational experiences.Create scalable API abstractions for our conversation platform that supports all popular chat clients like MSTeams, Slack, and Web, providing a neutral API for other engineering systems.Optimize the dialog engine for a wide range of conversational features, utilizing unique private domain knowledge of each enterprise customer in the cloud, and enable real-time multilingual translation with minimal memory usage and low latency.Promote best practices for coding patterns, API design, scalability, robustness, and optimization, fostering a culture of excellence and continuous improvement among your peers.
Full-time|$163K/yr - $286K/yr|On-site|Mountain View, CA
Your Role at MoveworksDevelop and enhance core infrastructure services and microservices that support our machine learning, frontend, and platform teams.Implement critical functionalities such as distributed configuration management, rate limiting, feature flagging, A/B testing, and traffic capture and replay.Optimize the performance, scalability, and observability of Moveworks cloud infrastructure.Consistently deliver time-sensitive projects in collaboration with other engineering teams.Take full ownership of features from inception to deployment while actively influencing the infrastructure roadmap.Engage in a highly collaborative, in-person role, working across various teams including Core and ML engineering.
The Role Are you an accomplished software engineer eager to leverage your expertise in designing and enhancing production systems at the forefront of AI technology? If so, this opportunity might be the perfect fit for you. As a senior software engineer within our dynamic “agent lab” Natural Language Understanding team, you will play a pivotal role in our mission: to expand the capabilities of AI agents to operate reliably at scale. You will have the chance to influence the progression of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, latency optimization, agent memory, and more. With access to state-of-the-art AI tools, including leading LLMs from OpenAI, you will be at the cutting edge of technology. Our team prioritizes rapid development on scalable infrastructure while tackling complex engineering challenges and enhancing the value we deliver to our customers. If you are ready to make a significant impact alongside a passionate and dedicated team, we would love to hear from you.
The Role Join Moveworks as a Senior Machine Learning Engineer II, where you will play a pivotal role in enhancing our Natural Language Understanding (NLU) and Agentic AI capabilities. Your expertise in software engineering and machine learning will help create seamless user experiences and optimize our generative and conversational AI platform. As part of the NLU team, you will leverage cutting-edge tools in Natural Language Processing (NLP) and Natural Language Generation (NLG), including advanced Large Language Models (LLMs), multimodal foundation models, and hybrid vector databases. You'll have all the necessary infrastructure at your fingertips to fine-tune, evaluate, and deploy your models into production. Our data-centric approach is supported by a world-class annotation team that ensures the creation of high-quality, privacy-conscious datasets for model training and evaluation. Your mission will extend beyond mere model training; you will strive for exceptional AI performance across all metrics, including accuracy, latency, reliability, and the overall functionality of user-facing systems. Our ideal candidates are driven not only by the desire to develop high-performing models but also by the ambition to design and enhance comprehensive AI systems and their components. We are focused on accelerating our operations, tackling complex engineering challenges, and maximizing the value we deliver to our customers. Your contributions will be crucial in achieving our objectives of resolving enterprise issues and establishing the most dependable AI co-pilot ever seen, in collaboration with various teams at Moveworks.
Join our innovative team at Moveworks as a Senior Software Engineer, specializing in Agentic AI Systems. You will play a pivotal role in developing advanced AI solutions that enhance workplace efficiency and empower users with intelligent automation. Your expertise in software engineering will allow you to contribute to cutting-edge projects that redefine the interaction between technology and users.
Join Moveworks as a Principal Machine Learning Engineer, where you will play a pivotal role in enhancing our GAI search relevance and ranking systems. In this dynamic position, you will lead a talented team of engineers and data scientists to develop cutting-edge machine learning algorithms that improve user interactions and search outcomes. Your expertise will drive innovation and reinforce our commitment to delivering exceptional solutions.
Moveworks is looking for a Senior Software Engineer to join the Agentic AI Systems team in Mountain View. This position focuses on building advanced AI-driven solutions that improve customer experience. Role overview As a senior engineer, you will guide the development of new AI systems. The work involves collaborating with team members and applying modern technologies to solve complex challenges. Your contributions will have a direct impact on product direction and the evolution of AI capabilities at Moveworks. What you will do Lead the design and implementation of AI-powered features Work closely with others to deliver solutions that enhance customer interactions Apply your expertise to influence technical decisions and product strategy Requirements Experience developing AI systems Strong collaboration and technical leadership skills Ability to work with modern technologies to drive innovation
Join us as a Senior Software Engineer on the Core Platform team at Moveworks, where you will significantly contribute to the advancement of our conversational AI platform. In this role, you will have the chance to develop enterprise products that tackle real-world challenges using our cutting-edge machine learning technology. Your responsibilities will include creating foundational frameworks and services that abstract product needs, providing scalable and reliable components, and establishing an enterprise data platform tailored for diverse product requirements.Design and implement highly reliable, performant, and secure platform components.Shape the platform team's roadmap while taking ownership of the evolution of multiple platform areas.Collaborate with cross-functional engineering teams to deliver integrated solutions.Consistently meet deadlines on projects that are interdependent with other engineering efforts.Challenge existing processes and drive continuous improvement within the platform.Participate regularly in peer code reviews and engineering design discussions.
Feb 26, 2026
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