Staff ML Engineer
Description For Staff ML Engineer
LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.
The Staff ML Engineer (Data Processing & Deployment) will apply knowledge of computer and information science to perform various tasks related to product and engineering (50%), research and innovation (30%), and serving as a Machine Translation Spokesperson (20%).
Key responsibilities include:
- Developing and training state-of-art production-level Machine Translation models
- Developing and maintaining services to query and transform customer data
- Contributing to engineering and product planning meetings
- Developing automated systems for production-level deployment of Machine Learning models
- Identifying performance bottlenecks and proposing improvements
- Keeping up to date with the latest research in Machine Translation and Large Language Models
- Developing proof of concept solutions for large scale Natural Language processing systems
- Iterating and developing the best possible architecture for Multilingual Machine Translation and Creation models
- Experimenting with methods to improve large-scale data processing for ML model training
- Serving as a spokesperson for Machine Learning applied research initiatives
Requirements:
- Master's degree in computer science, statistics, computational math/linguistics, machine learning, or related technical field
- 5 years of experience building large-scale Natural Language Processing systems using Machine Translation (MT) models
- Experience with Tensorflow or PyTorch, Python, Nvidia NeMo, large-scale data processing, and production-level deployment of Machine Learning Models
LILT offers competitive compensation, equity, and benefits, including medical, dental, and vision insurance, 401(k) matching, and flexible time off. The position allows for a hybrid work model with up to 3 days per week working from home.
Responsibilities For Staff ML Engineer
- Develop and train state-of-art production-level Machine Translation models
- Develop and maintain services to query and transform customer data
- Contribute to engineering and product planning meetings
- Develop automated systems for production-level deployment of Machine Learning models
- Identify performance bottlenecks and propose improvements
- Keep up to date with the latest research in Machine Translation and Large Language Models
- Develop proof of concept solutions for large scale Natural Language processing systems
- Iterate and develop the best possible architecture for Multilingual Machine Translation and Creation models
- Experiment with methods to improve large-scale data processing for ML model training
- Serve as a spokesperson for Machine Learning applied research initiatives
Requirements For Staff ML Engineer
- Master's degree in computer science, statistics, computational math/linguistics, machine learning, or related technical field
- 5 years of experience building large-scale Natural Language Processing systems using Machine Translation (MT) models
- Experience using Tensorflow or PyTorch to interact with and design neural networks – 5 years
- Experience with Python – 5 years
- Experience using Nvidia NeMo to design large language models – 2 years
- Large-Scale Data Processing experience for ML Model Training – 4 years
- Experience with Production-Level Deployment of Machine Learning Models– 4 years, including at least 3 years using Kubernetes
Benefits For Staff ML Engineer
- Competitive salary
- Equity
- Flexible time off
- Company holidays
- 401(k) matching
- Medical insurance
- Dental insurance
- Vision insurance
- FSA/DFSA
- HSA
- Commuter benefits
- Basic life insurance
- Short-term disability
- Long-term disability
- Paid parental leave
- Monthly lifestyle benefit stipend
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