yandex
moveworks
Страна
США
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
SeniorВ офисеПолная занятость

Sr. MLE, GAI Search Platform - JB0070751

Оценка ИИ

Исключительная возможность работать в топовой AI-компании, недавно купленной ServiceNow. Роль сочетает в себе техническое лидерство, работу с передовыми технологиями (GenAI, Agents) и отличные перспективы карьерного роста.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием к опыту руководства командой (Tech Lead) и глубокими знаниями в узких областях: информационный поиск (IR), RAG и LLM. Работа в быстрорастущей компании после поглощения ServiceNow требует высокой адаптивности.

Анализ зарплаты

Медиана230 000 $
Рынок190 000 $ – 280 000 $
Оценка ИИ

Указанная роль Senior/Staff MLE в районе Mountain View обычно предполагает базовый оклад выше среднего по рынку, дополненный значительным пакетом акций (RSU) ServiceNow. Наш прогноз отражает высокие стандарты Кремниевой долины для опытных специалистов в области ИИ.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Machine Learning Engineer position for the GenAI Search Platform team at Moveworks. With over five years of experience in software engineering and a proven track record of leading technical teams, I am excited about the opportunity to contribute to a platform that is redefining enterprise search through the power of LLMs and RAG. My background in information retrieval and natural language understanding aligns perfectly with your mission to provide instant, grounded answers across heterogeneous knowledge sources.

In my previous roles, I have focused on building scalable search architectures and developing algorithm frameworks that support complex, multi-turn interactions. I am particularly drawn to Moveworks' commitment to technical excellence and its recent integration with ServiceNow, which promises an even greater impact on how work gets done globally. I am eager to bring my expertise in Python and machine learning to help your team iterate faster, evaluate models more systematically, and deliver high-quality, secure AI solutions to your customers.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в moveworks уже сейчас

Присоединяйтесь к команде Moveworks и ServiceNow, чтобы создавать будущее агентного ИИ для миллионов пользователей по всему миру!

Описание вакансии

What You Will Do

We are looking for senior/staff engineers to join our GenAI Search Platform team to improve our search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies. At Moveworks, we build conversational search systems to provide instant answers to enterprise users’ questions. We deliver business intelligence support by combining modern information retrieval with the latest advancement in natural language understanding, including LLMs (large language models). By accurately retrieving, matching, ranking, and summarizing text snippets grounded in heterogeneous knowledge sources, our search products are reshaping the enterprise search experience for millions of our customers’ employees.

For the Search Platform, we are looking for passionate leaders who can provide technical direction and thoughtful coaching to our team of search and machine-learning engineers. The search platform team works 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.

We’re building a team that thrives on moving fast, solving challenging product and engineering problems, and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions.

  • Architect powerful, elegant abstractions to enable ranking and product teams to contribute safely and easily to the codebase.
  • Develop algorithm frameworks to support diverse conversational search applications such as multi-turn multi-hop question answering systems.
  • Drive the development of our search platform with new LLM-enabled generative AI features in a fast-paced environment. This platform would enable product teams to build new applications and features quickly, ship new prototypes to customers at scale, evaluate and iterate on ranking improvements in a systematic manner, and enforce guarantees on quality, security, privacy and scalability.
  • Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise such as security and privacy.
  • As a technical leader, you will help build a high-performing team with an inclusive and positive team culture.
  • As a technical leader, you will iterate on our interview processes, and close candidates to help grow the team. You will also coach and mentor engineers at different levels to achieve their career goals.

What You Bring To The Table

  • 5+ years of engineering with 2+ years of experience as a senior engineer (technical lead) leading a team of software engineers.
  • 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 nice to have.
  • Experience in Golang (not required).

\*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans. 

Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.

Moveworks Is An Equal Opportunity Employer

\*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.

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!

ServiceNowIt 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.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • Go
  • Machine Learning
  • Natural Language Processing
  • Information Retrieval
  • Large Language Models
  • Retrieval-Augmented Generation
  • Search Ranking
  • Software Architecture

Возможные вопросы на собеседовании

Проверка опыта в проектировании систем поиска и понимания современных подходов.

Как бы вы спроектировали систему RAG (Retrieval-Augmented Generation) для работы с огромным количеством разнородных корпоративных документов с учетом прав доступа?

Оценка лидерских качеств и умения развивать команду.

Расскажите о случае, когда вам нужно было внедрить новую техническую абстракцию в кодовую базу. Как вы убеждали команду и обеспечивали безопасность перехода?

Проверка навыков оценки качества моделей, что критично для Search Platform.

Какие метрики вы бы использовали для оценки качества ответов генеративного поиска, если традиционные метрики ранжирования (NDCG, MRR) не дают полной картины?

Оценка опыта работы с LLM и понимания их ограничений.

С какими основными проблемами «галлюцинаций» в контексте корпоративного поиска вы сталкивались и как их решали на уровне платформы?

Проверка навыков кросс-функционального взаимодействия.

Как вы балансируете между необходимостью быстрого выпуска прототипов (time-to-market) и обеспечением долгосрочной стабильности и масштабируемости платформы?

Похожие вакансии

roku
229 500 $ – 367 100 $

Senior Machine Learning Engineer, Platform

SeniorГибридСША
Java · Scala · Kotlin · Python · Spark · Kafka · Flink · S3 · Airflow · Ray · PyTorch · Hugging Face · AWS SageMaker · Distributed Systems · Machine Learning Infrastructure
+15 навыков
lucidmotors
Не указана

Sr. Machine Learning Engineer, Autonomous Driving & Parking

SeniorВ офисеСША
Python · PyTorch · TensorFlow · C++ · Deep Learning · Machine Learning · Computer Vision · Robotics · Transformers · Autonomous Driving · Motion Planning · ADAS
+12 навыков
roku
Не указана

Senior Computational Linguist

SeniorГибридСША
Python · SQL · NLP · Machine Learning · Large Language Models · Generative AI · Linguistics · Spanish · Portuguese · Git
+10 навыков
inversionspace
140 000 $ – 165 000 $

Senior Software Engineer (Autonomous Systems)

SeniorВ офисеСША
C++ · Python · Rust · Autonomous Systems · Robotics · Aerospace · Telemetry · Control Systems · State Machines · Real-time Systems · Simulation
+11 навыков
pitchbookdata
160 000 $ – 200 000 $

Sr. Software Development Engineer, AI Enablement

SeniorВ офисеСША
Python · Generative AI · LLM · LangChain · OpenAI API · SQL · NoSQL · CI/CD · Git · API Design · TypeScript · Java
+12 навыков
maintainx
Не указана

Senior Applied Machine Learning Developer, Asset Intelligence

SeniorУдалённоКанада
Python · PyTorch · TensorFlow · AWS · Databricks · LLM · LangChain · LlamaIndex · Hugging Face · Docker · Kubernetes · MLflow · SageMaker · Time Series Analysis · Anomaly Detection · OCR · Reinforcement Learning · MLOps
+18 навыков
более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

moveworks
Страна
США