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Senior ML Engineer
Skills
Computer ScienceA/B TestingAlgorithmsData ProcessingData ScienceDatasetsMachine Learning Algorithms
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience of building production-grade LLMs or Speech & Audio machine learning models in industry and/or academic research settings
- Experience with data processing, analysis and curation
- Strong understanding of modern machine learning techniques (DPO, RLHF, transformers, etc)
- Track-record of exceptional research or creative applied ML projects
- Experience with product experimentation and A/B testing
- Experience training large models in a distributed setting
- Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)
Nice to have
- 5+ years experience
- data processing and analysis
- machine learning techniques
- research or applied ML projects
- product experimentation
- large model training in distributed settings
- ML deployment and orchestration (Kubernetes, Docker, cloud)
Day to day
- Run evaluation and analysis of pre-trained models against certain performance and alignment issues
- Address these issues with additional training and fine-tuning techniques like DPO or RLHF
- Create datasets to address these issues
- Develop algorithms to improve the performance metrics
- Contribute to Cantina’s open-source ML projects
Hiring process
- Resume
- Cover letter
- Relevant portfolio or publications