Selerity provides low-latency, high-performance AI solutions for financial workflow automation as a complete analytics and recommendations package over any kind of unstructured content the sell-side process, particularly for in-house, (material) non-public information (e.g., trader chats), while mingling it with publicly available data (e.g., news), all in real-time.
We’re looking for an experienced Java NLP Engineer to join us in a hands-on role, applying the latest technology in natural language processing and machine learning (including deep learning) to solve real-world problems in capital markets, institutional research, financial news and social media.
Qualifications: At least 5 years (ideally 10+) of challenging work experience. • Advanced proficiency developing high-performance, concurrent Java in Linux environments. • Rigorous data science foundations and theory, including algorithms, statistics, experimental setup, etc. • Experience applying SOTA NLP and machine learning methods to large-scale datasets, especially open information extraction techniques. • Verifiable in-depth experience with at least a hand-full NLP-relevant libraries. • Experience with deploying, monitoring, and maintaining large-scale A.I. applications in production environments. • Experience with large-scale analytics and machine learning technologies including TensorFlow (Serving), (Py)Torch, Spark, Hadoop, H2O, etc. • Nice to have: Advanced proficiency developing high-performance Python code.
What we offer:
- Fully remote position, world-wide, or a work-place in Manhattan
- Flexible work hours & startup culture
- Yearly team meetings in NYC
- Equity and competitive salaries