How Remoteville checks and expires listings
Machine Learning Engineer, Post-Training
Skills
Computer ScienceData EngineeringA/B TestingAlgorithmsData ProcessingData ScienceDatasets
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)
Day to day
- The Post-Training team is responsible for developing our powerful pretrained language models into intelligent, engaging, and aligned products.
- You will work across teams and our technical stack to improve our model performance and training methods, including data, compute and algorithms.
- You will get to shape the conversational experience of humans and bots.
Hiring process
- Please submit your resume, cover letter, and any relevant portfolio or publications demonstrating your research contributions in AI.