Senior Machine Learning Scientist, Sense Street
£60-100k
Natural language understanding systems
Job no longer available
Natural language understanding systems
21-100 employees
Job no longer available
£60-100k
21-100 employees
Company mission
To help investment banks and asset managers have better, more efficient conversations.
Role
Who you are
- MSc or PhD in a relevant subject
- Two or more years of industry experience in deep learning
- Extensive background in using and developing deep learning methods
- Substantial understanding of deep learning methods and breadth of knowledge of different models and their potential applications
- Interest for text and language tasks
Desirable
- Knowledge of foreign languages
- Experience with UNIX and cloud computing
What the job involves
- Provide scientific depth in a data science team including ML and NLP scientists and linguists
- Design new ML tasks from raw data through new ML methods to finalised products that will be used by our customers
- Drive innovation on tasks that are in a specialised domain and do not conform to standard NLP tasks
- Think creatively and innovatively to produce effective models
Salary benchmarks
Otta's take
Theo Margolius
COO of Otta
Natural language processing (NLP) algorithms define the ability of computers to understand and manipulate human language as data. Sense Street’s NLP understands the complex jargon used in capital markets enabling extraction of information from across the life cycle of a trade and deploying bleeding-edge computer science research to trading desks.
Through its partnerships with global banks, Sense Street has access to datasets that have not been made available in the past. This has enabled the company to create language models that change unstructured market conversations into a fine-grained understanding of liquidity in OTC capital markets.
Whilst language modeling has improved dramatically in recent years, Sense Street is unique in developing its proprietary pipeline to be suited to the investment banking community. The company has an experienced team and is backed by professionals with 40 years of experience spanning trading, quantitative research, and emerging technologies.
Insights
Company
Funding (1 round)
Oct 2020
$0.8m
SEED
Total funding: $0.8m
Company benefits
- Highly skilled team, flat hierarchy, and opportunities for mentorship
- Ability to heavily influence platform and culture from an early phase
- Flexible working, central London location, company share option scheme
- Budget/time for books, training and attending conferences/hackathons
Company HQ
City of London, London, UK
Founders
Haroon Hassan
(CEO)Extensive experience working on bond trading desks in Europe and the US as a Trader and Research Analyst at Credit Suisse, Barclays, and MUFG Securities.
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