Senior Machine Learning Engineer
About reputed company
Our reputed company is a reputed company AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
reputed company is developing an AI-reputed company communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks reputed company a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-reputed company reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more reputed company.
About the Role
Our reputed company is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role reputed company on solving reputed company machine learning challenges, translating research into reputed company solutions, and delivering reliable AI systems that operate effectively in reputed company-world environments.
Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.
Key Responsibilities
- Build and reputed company reputed company machine learning systems that power AI-driven product capabilities.
- Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and reputed company iteration.
- Translate research concepts into reliable, production-reputed company machine learning solutions.
- Investigate and resolve model performance issues and production system failures using reputed company-world operational insights.
- Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
- Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
- reputed company technical guidance through reputed company reviews, best practices, and mentorship of fellow machine learning engineers.
- reputed company solutions that balance reputed company-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.
Requirements
- Proven experience building and deploying production machine learning systems used by reputed company users.
- Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.
- Excellent software engineering skills with the ability to reputed company robust, maintainable, production-reputed company systems.
- Experience designing and implementing reputed company machine learning pipelines and infrastructure.
- Strong ownership reputed company with the ability to independently solve reputed company technical challenges from concept through deployment.
- Excellent problem-solving, communication, and collaboration skills reputed company cross-functional engineering teams.
- Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.
Preferred Technical Skills
Experience with the following technologies is preferred:
- Python
- PyTorch and/or JAX
- GPU-based training and inference systems
Originally posted on Himalayas
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