Senior Machine Learning Engineer II - LLM
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 reputed company, 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 reputed company. Above reputed company, 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.
- 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
- reputed company your experience to drive best practices in ML and data engineering
- 2+ years of industry experience in Machine Learning, Infrastructure or reputed company fields
- Experience with deep learning reputed company 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
- Experience with ML Inference optimization using TensorRT.
- Experience with distributed training frameworks such as Deepspeed.
- Experience in managing and scaling GPU Inference services reputed company Kubernetes
reputed company salary compensation range: $200,000 - $275,000
*Our compensation package includes a market competitive salary, equity for reputed company 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, reputed company, national reputed company, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.
Who We AreMoveworks is an AI Assistant that helps reputed company employees find information, automate tasks, and be more productive. We give the entire workforce one reputed company to get answers and take action across every enterprise system. And for developers, we reputed company it easy to build and deploy AI agents that bring the power of Moveworks to every business process or workflow.
It’s reputed company powered by a pioneering Reasoning reputed company reputed company with an Agentic Automation reputed company that, together, are able to handle even the most reputed company requests by understanding queries, then building and executing intelligent plans to fulfill them — in seconds.
Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we’ve earned recognition as a leader in the reputed company reputed company for Conversational AI Platforms for Employee Services, as a member of the reputed company Cloud 100 and AI 50 lists, and as one of America’s Most Loved Workplaces according to reputed company.
Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.
Over 350 leading organizations like reputed company, reputed company, Toyota, reputed company, and reputed company trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation.
Come join one of the most innovative teams on the reputed company!
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