At
CheckRecipient, we have the ambitious goal of protecting enterprise
networks against new and intelligent cyber threats, making it impossible
for sensitive information to end up in the wrong hands.
Through
advanced machine learning and natural language processing (NLP),
CheckRecipient prevents breaches in real-time, outsmarting traditional
rule-based, admin-intensive approaches which can only report a breach
after it has occurred.
Founded by a team of Imperial College
engineers, we’re backed by some of the world’s leading technology
investors. We work with international clients in the financial, legal
and professional services sectors who trust us to find the most
intelligent ways to keep their data secure.
We’ve recently closed a fundraising round of $2.7m led by Accel and LocalGlobe
and we are looking to work with the brightest minds to help us
accomplish our goal and help us defend our clients against the biggest
cybersecurity problems.
We’re looking to work with the brightest
minds to help us accomplish our goal and help us defend our clients
against the biggest cybersecurity problems.
Engineering At CheckRecipient
Dealing
with massive datasets at scale requires ingenuity and strong analytical
skills. Our agnostic approach to problem solving means we favour hiring
engineers who pride themselves on the ability to learn new skills,
their comfort with the unknown and their willingness to experiment.
At
CheckRecipient you’ll be growing your skill-set on an ongoing basis;
regular and continuous development is something we believe in and as an
employee we will seek to create opportunities for you to evolve.
We
build quickly and follow both agile and continuous delivery paradigms.
As a member of the CheckRecipient engineering team, you will have the
autonomy to work on your own projects, and be part of our regular round
tables to bounce ideas around as a team on how to tackle our biggest
challenges. We believe in Deep Work and ensure our Engineers have the option of two 2-hour uninterrupted sessions a day with no external distractions.
We're
looking for a python backend engineer to work with us and work closely
with our data science team building out new threat modules as well as
re-architecting our application into microservices allowing us to scale
horizontally.
There is also the opportunity for this to be a hybrid role, combining python engineering with data science.
This will require some experience in programming, with some training in
data science (i.e. this is ideal for a python engineer who has done a
data science or machine learning MSci and is looking to move in a more
data-science direction).
Here are some of the technologies we’re working with:
Here are some of the technologies we're interested in:
Requirements
You should apply if a lot of the below sounds like you:
Backend Engineering
- are a great problem solver who takes pride in their work
- are comfortable with the unknown and love to experiment
- can construct good arguments for methodologies or practices
- have a passion for learning new skills and technologies
- have good knowledge of Python (but ideally you’re language agnostic and will use the best tool for the job)
- are interested in working on a microservices architecture
- have an interest in machine learning
Optional: & Data Science
- you have deployed machine learning into the wild, rather than for purely academic research
- want to join a fun and fast growing company
- are a great problem solver who takes pride in their work
- also believe that data scientists are most effective when they are responsible for getting ideas into production (see here)
- you’re happy getting your hands dirty data munging and working with unstructured data
- aren’t afraid by the unknown - there is little prior research for the problems we are tackling
- have strong SQL and python skills
- are comfortable working with big data technologies e.g. Redshift, Spark, or similar
- are happy to drive projects from idea to production without much guidance
- have a strong background in statistical analysis
Bonus:
- you have experience working with NLP (extra special bonus: in document classification)
- interested in using deep learning with big datasets
CheckRecipient's Awards
Winner - INFOSEC 2017 Most Innovative Cyber Security Company
Winner - Info Security Product Guide’s Global Excellence Awards 2017 for the Best Security Startup
Winner - WIRED Security 2016 Best Startup Award
Winner - LegalGeek Best Machine Intelligence Start Up 2016
Our Team
You can check out some photos of our team on our Instagram, Look through our Who's Who or check out our team page.
Benefits
- Competitive salary and meaningful equity options
- Choose your own kit
- Central London office location
- Regular team socials and activities
How to apply
Please
attach your résumé and take the time to write a quick cover letter
about why you’d like to work at CheckRecipient and specifically what
attracts you to this role.
We look forward to hearing from you!
Important Notices:
- Please
note that we do not accept applications or résumés from recruiters
unless we have specifically asked a given recruiter to submit candidates
for this role
- Please note that we can only accept applications
from people who currently have the right to work in the UK. We are
unable to sponsor someone to work in the UK who does not currently have
the right to do so
