Machine Learning engineer (Data team) - Shipamax (YC W17)｜Meet.jobs

Today, Shipamax serves some of the largest players in logistics and we're processing 20 million emails & attachments annually. We're looking for a bright, ambitious candidate to join our data team & accelerate our growth.

We've just raised a series A investment round earlier this year and are backed by $9.5 million from Y Combinator, Mosaic, Crane and AME Cloud.

You’ll be working with a very experienced, but low-ego, team of 7 engineers and machine learning researchers who are experts in NLP/computer vision. We're using technology which gives the best results for the customer and you will also join regular research and knowledge sharing sessions.

As a Machine learning engineer you will focus on extracting data & meaning from documents. Day to day you'll:

• Apply algorithms and machine learning in practice by training existing models and improving all aspects of our data extraction product
• Make sure our new customer are getting a highly accurate product by training and tuning our system
• Responsible for the quality and ongoing evaluation of our data sets on existing and new ML models in pre-launch and in production
• Working closely with the engineering and product teams to successfully integrate models into our product.
• Work end-to-end on on our data extraction from data to production
• Keeping on top of the latest AI/ML research for team discussions & application in your work.

We focus on old industries where there is huge room for automation. Currently we're expanding into our second vertical - the Freight Forwarding market - where we're seeing customers jump at the prospect of applying our technology to automate data entry.

About you

• BSc. in computer science, statistics, mathematics or a related field or significant relevant job experience
• Min. 1+ year of professional work experience
• Strong programming skills in one of the following programming languages including but not limited to: Python, C++, Java or Go
• Experience in understanding and building statistical or machine learning models
• Focus on deliverables
• Strong attention to detail
• Ability to perform applied research projects and bring them to production

Bonus

• Experience in natural language processing or computer vision
• Experience working on real-world data sets

Experience in logistics not necessary :)

Start date: as soon as possible

This is a full-time position based in Clerkenwell, London. For now everyone is working from home, but we will return to the office in the future. Please apply to come and (virtually) meet our team, hear about the projects we’ll be working on next and see if there is a fit.