We are hiring a AI/NLP Engineer to lead the development of cutting-edge NLP systems that support our real-time trading decision engine and accompanying internal tools. This role involves working on large-scale datasets to extract actionable insights and enhance the performance of our trading strategies.
As part of our technology team, you will design and implement robust, scalable NLP pipelines and adaptive learning systems. You will collaborate closely with researchers and engineers to drive innovation in analyzing unscheduled market news.
Responsibilities
- Lead the development and optimization of our NLP-based decision engine.
- Build and maintain ML models for news classification and sentiment analysis.
- Enhance semantic pattern matching and false positive detection systems.
- Develop feedback loops for continuous improvement of NLP models.
- Integrate NLP capabilities with search engines like Elasticsearch.
- Design adaptive learning systems to improve real-time decision-making.
- Work with stakeholders to implement NLP-driven insights into trading pipelines.
Requirements
Must Haves
- 7+ years of experience in NLP, machine learning, or related roles.
- Expert knowledge of NLP frameworks and tools, including spaCy and transformers.
- Hands-on experience with BERT and other transformer architectures.
- Proficiency in Python and deep learning libraries like PyTorch or TensorFlow.
- Strong background in text preprocessing, semantic similarity, and text classification.
- Experience with sentiment analysis, Named Entity Recognition (NER), and topic modeling.
- Proven ability to deploy, monitor, and optimize ML models in production.
- Excellent problem-solving skills and ability to handle large datasets (structured or unstructured).
Nice to Have
- Knowledge of Elasticsearch NLP integration and semantic search.
- Experience with reinforcement learning and online learning systems.
- Proficiency in CI/CD for ML, Docker, and microservices architecture.
- Experience with GPU optimization and model quantization.
- Background in multilingual NLP and domain-specific adaptation.
- Familiarity with financial or market-related NLP tasks.
Interview Process
- First interview with our RTI engineering lead to sell the firm, assess cultural fit, short technical screen, explain the take home.
- Take Home Assessment and Presentation.
- Additional technical interview with our Senior Engineer(s).
- Additional rounds may be conducted as necessary with other team members or our partners.
Throughout the process, you'll be assessed for cultural fit through our company values:
- Drive - We believe the best team members are passionate about what they do, and that propels them to greater heights in their career. It drives them to be part of the best teams where they are exposed to the best ideas.
- Ownership - We aim to give ownership interest to as many people in the firm as possible, but in return, we expect everyone to act like owners. "Not my responsibility" is a repugnant phrase to us.
- Judgement - We look for team members who consistently look at the big picture and spend their time on the activities that most drive PnL. They are pragmatic with their time; they don't stick to their narrow domain if it doesn't move the needle.
- Openness - We want a culture where we proactively share information with one another and challenge each other with constructive debate to reach the truth.
- Competence - We value people with high intellectual horsepower. They have already become an expert in one or more domains and learn extremely quickly when in unfamiliar territory.
Benefits
We are a rapidly growing hedge fund, 2 years old, managing a 9-figure AUM, generating 200%+ annualized returns with a 4 Sharpe.
We've grown to a team of ~40 across Trading & Research, Tech, and Operations.
This is an opportunity to get in on the ground floor of a rapidly growing team and industry. Each member of our team can make large, impactful contributions -- for which we compensate very well, with long-term upside.