We're building an Enterprise AI platform focusing on deep customer understanding, modelling and emotionally intelligent customer engagement. If you have a startup mentality and a desire to help some of the world’s largest organizations leverage the latest ML / AI technologies we want to hear from you.
Genus AI is an international company with offices in San Francisco, London and Vilnius. Come join us to change the world in a meaningful way!
Data scientists at Genus AI work closely with product and engineering teams and clients to provide a high-quality service that exceeds expectations as well as researching and developing innovative machine learning product ideas.
We are looking for an experienced data scientist with an engineering mindset to help us.
- Work with our clients to understand their requirements, business questions and build models and data pipelines.
- Research and develop innovative machine learning based product ideas.
- Work with commercial and product teams and build efficient data pipelines to enable data-driven decisions internally.
- Improve data science standards, tooling, and processes.
You may be fit for this role if you...
- Have a strong background in data science or data engineering or both.
- Have 3+ years of experience in data science or data engineering role, with a focus on data analysis or machine learning research.
- Know Python (scikit-learn) and SQL.
- Have familiarity with H2O.ai.
- Have a good command of written and spoken English.
- Can explain complex statistical models in basic language.
- 2000-3000 EUR net monthly salary or more + stock options.
- A personal budget of 1,000EUR per year for learning courses of your choice, conferences, books, etc.
- 25 work days of holidays.
- All the tech you need to do your job.
- Unique opportunities to grow professionally and as part of the team.
What is it like in engineering at Genus AI
First and foremost we want to be proud of our team, the work we do together, to learn from one another and set an example and be driving force in AI application in positive ways.
We are optimizing our engineering towards sustainable speed
. We encourage the release of small iterative changes, that are fast to review and verify. This gives us a significant speed in trying out various ideas and getting feedback fast.
In all of the above, we strive to be keep a high-security standard. We use a set of tools to automate compliance checks. We do regular software upgrades, review our software dependencies and regularly organise pen-testing. We enforce good basic cybersecurity hygiene wherever possible and expect every team member to support this.
Languages, Frameworks and Tools you will encounter at Genus AI
Most of our codebase is written in Python (3.6+). A basic understanding and ability to follow PHP and/or Java code would be a plus. We understand that languages can be learnt, therefore we are more interested in your engineering ability.
Our infrastructure is built on top of AWS and we use CloudFormation for Infrastructure-as-a-Code, and Ansible with custom plugins for automation.
We use Phabricator
for most of our engineering and product workflows.
We use Django 2 with MariaDB for our client facing platform.
We use Jupyterlab with Python, Scikit-learn, Tensorflow and H2O.ai for data science workloads. As we plan on doing more R&D there is an opportunity for validating any other cutting edge ML tools and frameworks.