AI / ML Engineer (Remote, Salary + Equity)
We're building the AI core of our product - and we need someone who can take messy, scattered data and turn it into structured intelligence that actually works in production. If you want to move fast, solve real problems, and see your models shape how users experience a product, this is for you.
"Universal Legal Platform" - If this resonates with you, read further.
What you'll do
- Design and maintain data pipelines : cleaning, structuring, and labeling data for scale.
- Train, fine-tune, and deploy ML models (NLP, LLMs, recommendation systems — whatever solves the problem).
- Work closely with engineering to ship AI / ML features that go live, not just sit in notebooks.
- Experiment fast, measure impact, and iterate - no ivory tower research, just production-grade ML.
What we're looking for
Solid foundation in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).Hands-on experience with data wrangling (Pandas, SQL, Airflow, dbt or similar).Understanding of MLOps : containerization (Docker), orchestration (Kubernetes), CI / CD for models.Comfort with cloud platforms (AWS / GCP / Azure) and deploying models at scale.Bonus : familiarity with vector databases, embeddings, and LLM fine-tuning.Why join us
Fully remote - work where you're most productive.Hybrid comp : salary + equity - ownership in what you build.Direct influence on product - your work defines the intelligence of the platform.Early stage, high impact - you won't just be another engineer, you'll be shaping the ML backbone of the company.If you want to build real AI systems that ship - not just experiments - we want to talk.