ML Engineer
Wispr Flow · San Francisco, CA · Yesterday
On-siteEngineering$130k–$240k/yrFull-time
About the role
As a ML engineer at Wispr, you’ll play a crucial role in building the first capable, habit-forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle
Responsibilities
- Prototyping and designing new features of our voice interface
- Built infrastructure to handle
- Scaling the personalization of our speech models and LLMs with fine-tuning and RL
Requirements
- Previous founding or startup experience
- Experience optimizing ML inference or engineering systems for research teams
- Fluency in Python and LLM development
- Attention to detail and eagerness to learn
- Aptitude and clarity of thought
- Creativity, excellence in engineering, and code velocity
Qualifications
- Master's degree in Computer Science, Electrical Engineering, or related field
- Strong background in machine learning and natural language processing
- Experience with large-scale distributed systems and cloud services
- Knowledge of deep learning frameworks such as TensorFlow or PyTorch
Skills
- Python programming
- Experience with large language models (LLMs)
- Experience with reinforcement learning (RL)
- Experience with distributed systems and cloud services
- Experience with large-scale data processing and analysis
Benefits
- Competitive compensation range: $130K - $240K
- Flexible work schedule
- Health insurance
- Retirement plans
- Professional development opportunities
- Work-life balance initiatives
Pay
- $130K - $240K
Schedule
- Full-time