Lead ML Engineer
7 days ago
About the Role
We're building a machine learning-powered legal risk assessment platform. As our Lead ML Engineer, you'll architect and implement ML systems that enhance our existing six-pillar algorithmic risk engine, focusing on case outcome prediction with 70-79% accuracy across 100,000+ legal cases.
Location:
Remote |
Type:
Full-time |
Compensation:
$160,000- $200,000
|
equity
Key Responsibilities
- Design and build ML ensemble systems using PyTorch and Transformers
- Develop A/B testing frameworks to validate ML performance against algorithmic baselines
- Implement model interpretability features for regulatory compliance (SEC/FINRA)
- Create hybrid systems with automatic fallback to algorithmic predictions
Required Skills
- 5+ years production ML experience (not research-only) Expert-level PyTorch and Transformer models
- Experience with model interpretability and explainability
- FastAPI or similar high-performance Python frameworks
- Track record of ML systems serving 1000+ requests per second
Preferred Experience
- Legal tech or financial ML applications
- Multi-database architectures / PostgreSQL, MongoDB, Redis, Pinecone)
- Regulatory compliance environments
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