Technical Lead, Machine Learning
Tasks
- Build datasets and evaluation processes
- Collaborate with backend engineers and product teams
- Define engineering standards and promote best practices
- Design build and scale production machine learning systems
- Develop and maintain training pipelines evaluation frameworks and data workflows
- Fine-tune foundation models
- Manage deployment workflows monitoring observability and reliability
- Mentor machine learning engineers
- Optimize model inference performance latency reliability and GPU utilization
- Own train deploy monitor and optimize large language models
Perks/Benefits
- Exposure to cutting-edge technologies
- Flexible location options
- Founding engineering role
- Long-term growth opportunities
- Remote first working environment
- Significant impact and visibility
- Technical direction ownership
Skills/Tech-stack
Data Pipelines | Deployment Automation | Direct Preference Optimization | Distributed Training | Evaluation Frameworks | Fine Tuning | GPU Computing | Inference Optimization | JAX | Language Models | Large Language Models | LoRA | ML Infrastructure | Machine Learning | Model Fine-tuning | Monitoring | Observability | Preference optimization | PyTorch | Python | QLoRA | Reliability | Scalability | Supervised Fine Tuning
Education
N/A
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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