Machine Learning Engineer
| Company | Valence |
|---|---|
| Location | Toronto, ON, Canada, New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
- 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master’s or Ph.D. in Computer Science, ML, Data Science, or a related field)
- Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval
- Strong foundation in data structures, algorithms, and software engineering principles
- Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM)
- Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad)
- Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services
- Strong analytical and problem-solving skills
- Experience structuring and running data-backed experiments
- Strong written and verbal communication skills
- Exposure to early-stage startups, preferably B2B SaaS
Responsibilities
- Develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready
- Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals
- Work with the product team to analyze user behavior and prioritize evolving requirements
- Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience
- Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements
- Documentation of models, prompts, and processes to increase replicability and drive quality improvements
- Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI
- Support other coding and feature development where required
Preferred Qualifications
- Experience with a Master’s or Ph.D. in Computer Science, ML, Data Science, or a related field
- Exposure to early-stage startups, preferably B2B SaaS