1 day ago
Base Salary
$130k - $205k/yr
Responsibilities
- Develop, implement, benchmark, and deploy machine-learning, NLP, and generative-AI methods, including LLM fine-tuning, retrieval-augmented generation, and document understanding.
- Clean, annotate, and transform structured and unstructured legal and medical case data, and build reusable datasets and data loaders.
- Design experiments and A/B tests, analyze results, and communicate findings to product and engineering teams.
- Help integrate models into production systems in partnership with ML platform engineers on testing, monitoring, and scaling.
- Collaborate with product managers, legal analysts, data scientists, and software engineers to translate problems into measurable ML solutions.
- Stay current with research in LLMs, representation learning, and prompt engineering.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a related field.
- Strong foundation in supervised and unsupervised learning, evaluation metrics, overfitting, and regularization.
- Hands-on experience with NLP or generative-AI techniques such as transformers, embeddings, sequence-to-sequence models, or LLMs.
- Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, or spaCy.
- Familiarity with SQL and basic data-engineering concepts including ETL, versioned datasets, and notebooks.
- Strong analytical thinking, clear communication, and willingness to learn and iterate quickly.
- Nice-to-have experience with AWS or GCP, experiment-tracking tools, Docker, Kubernetes, or a high-growth startup environment.
Benefits
- Medical, dental, vision, life, accident, and critical-illness insurance options.
- Flexible paid time off, sick leave, short- and long-term disability coverage, and paid parental leave.
- US employees receive 10 observed holidays and access to a 401(k); Canada employees receive provincial statutory holidays and an RRSP.
- Home-office stipend and local in-person meet-up program.
- Hybrid work with hubs in San Francisco and Toronto and three employee-selected office days.
- Benefits and perks apply to full-time employees.
Tech Stack
Categories
About EvenUp
EvenUp is the leading proactive AI platform for personal injury law, the first of its kind, built on the largest personal injury dataset. Trusted by 2,000+ firms, EvenUp helps legal teams run casework like clockwork—drafting documents, automating workflows, and maximizing the outcome of every case from intake to resolution.