
AI-driven IT support for modern workplaces
Moveworks is an AI assistant platform headquartered in Mountain View, CA, that provides IT service and helpdesk support through an AI-driven chatbot. The platform effectively resolves 30% of IT support tickets within weeks of implementation, catering to large enterprises that handle hundreds of requ...
Moveworks offers unlimited PTO, allowing employees to take an average of 4-6 weeks off annually. Additional benefits include equity and stock options,...
Moveworks fosters a culture centered around innovation in AI-driven IT support, enabling employees to efficiently manage their workload. The company v...

Moveworks • Mountain View, CA
Moveworks is seeking an Engineering Manager for their Machine Learning Infrastructure team to lead the development of a cutting-edge platform for conversational AI. You'll guide a talented team in building and optimizing systems for the ML lifecycle, focusing on distributed training and inference. This role requires expertise in machine learning and systems engineering.
You have 5+ years of experience in engineering management, particularly in machine learning and systems engineering. You possess a strong technical background that allows you to guide your team effectively while fostering a culture of innovation and operational excellence. Your leadership style emphasizes mentorship and growth, ensuring that your team members thrive in their roles. You are adept at balancing operational demands with forward-looking research, enabling your team to build the next generation of AI solutions. You understand the intricacies of distributed systems and have experience in optimizing performance across various ML models.
Experience with generative AI technologies and frameworks is a plus, as is familiarity with the latest advancements in machine learning infrastructure. You have a track record of successfully leading teams through complex projects and are comfortable navigating the challenges that come with scaling AI products. Your ability to communicate technical concepts clearly to both technical and non-technical stakeholders is essential for this role.
As the Engineering Manager for the Machine Learning Infrastructure team, you will spearhead the development of a platform that powers Moveworks' conversational AI. Your primary mission is to lead a team of talented engineers in building, optimizing, and scaling the end-to-end systems for the entire ML/LLM lifecycle. This includes overseeing infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. You will guide the team's technical vision, ensuring that the infrastructure aligns with the operational demands of the core ML product while also pushing forward with innovative research.
You will own the technical vision and roadmap for the end-to-end ML platform, which supports hundreds of production models, including proprietary technologies like MoveLM. Your strategic direction will drive model performance and ensure that the systems you build are robust and scalable. You will also be responsible for mentoring and growing your team, fostering a culture of ownership and excellence that aligns with Moveworks' core principles.
Collaboration is key in this role, as you will work closely with cross-functional teams to ensure that the infrastructure meets the needs of various stakeholders. You will be instrumental in shaping the Moveworks Enterprise Copilot platform, contributing to the future of AI-driven employee services. Your contributions will have a lasting impact on the organization, as you help define the next generation of AI solutions that enhance operational efficiency and employee experience.
Moveworks provides a dynamic and innovative work environment where you can make a significant impact. You will have the opportunity to work with cutting-edge technologies and lead a talented team of engineers. We offer competitive compensation and benefits, along with a culture that values collaboration, creativity, and continuous improvement. Join us in our mission to transform employee services through AI and be part of a team that is shaping the future of work.
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