Description

This role is fully remote. We're looking to build up a team of engineers in Portugal. Please read the job description thoroughly. 

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 6 engineers and machine learning researchers (4 with PhD) who are experts in NLP and machine learning. 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, based on NLP and information from the document layout. Day to day you'll:

• Bringing algorithms & model research into practice and push the boundaries of what is possible in 1-4 month projects
• Maintain existing models and data processing algorithms
• Working closely with the engineering and product teams to successfully integrate models into our commercial product
• Deliver impressive data extraction software to customers
• Enjoy seeing users getting commercial benefit from the system
• Responsible for the quality and ongoing evaluation of our data sets on existing and new ML models in pre-launch and in production
• 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

• MSc in computer science, statistics, mathematics or a related field or significant, comparable 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 models, machine learning models and NLP
• Focus on deliverables
• Strong attention to detail
• Ability to perform applied research projects and bring them to production
• Experience in natural language processing
• Experience working on real-world data sets

Experience in logistics not necessary :)

Start date: as soon as possible

Contact: [email protected]