Recommind - San Francisco, CA - Machine Learning, Enterprise Software and Frontend Engineers - Full-time
We are looking for people who are passionate about building applications for finding information in unstructured and semi-structured data. Why should you work with us? We have just recently been named as one of the world’s most innovative companies in big data [1].
Our small team is working on a new prototype that will help automatize and scale information extraction on unstructured data by a patent-pending learn-by-example method. Currently our goal is to make information extraction in legal contracts easier, but we really focus on all kinds of unstructured or semi-structured information.
If you have expertise in Machine Learning and/or Natural Language Processing, are familiar with building enterprise applications and/or have great design and frontend skills, we would love to get in touch with you. We are generally looking for strong generalists who are familiar with at least two of the described three areas and share our vision.
Our stack is largely Java/jQuery/CSS/HTML5-based, but we also use Ruby on Rails for rapid prototyping.
Depending on your area of expertise, you should have:
- Strong CS fundamentals (algorithms, data structures)
- Strong software design and architecture skills
- Experience with ML or NLP
- Frontend development and design experience
In any case you should have:
- Passion to build quality software
- Experience with Java or exceptional capabilities to learn it quickly
- Entrepreneurial attitude
- Willingness to learn and adapt to new technologies
We offer competitive compensation with benefits and a work experience with a high degree of freedom and flexibility (work hours/work from home option) - what’s important to us is the result of your work. While you would be part of a small but growing team working on a completely new product, you would enjoy the perks and benefits of a fast-growing company.
If this sounds interesting, let’s talk! Send me your resume/CV and links to github, projects or blogs etc.: julian (dot) riediger (at) recommind (dot) com
Recommind - San Francisco, CA - Machine Learning and Frontend Engineers - Full-time, Intern, H1B
Our small team (3 people) is working in the information extraction in semi-/unstructured data space and we are currently trying to grow the team. We are generally looking for strong generalists who share our vision of automatizing and scaling information extraction, but are also open to outstanding specialists in ML/NLP or frontend.
If you're looking for a work experience with high degree of freedom and flexibility (hours/work from home) while having the perks and benefits of being part of a bigger company, you might be right with us.
If you're interested please contact me: julian (dot) riediger (at) recommind (dot) com
I think a lot of the analyses of Facebook's advertising model miss one important point. Sure, their CTRs are not even closely comparable to Google's numbers. However, when people search on Google, they're often actively looking for certain products that lead to high CTRs on these targeted ads. In Facebook's case, people want to socialize and generally don't want to be disturbed by ads.
Basically, Facebook currently uses an advertisement model that is not very natural to its product (and not very well targeted for a number of reasons). But Facebook just doesn't care at this point, because they still generate sufficient revenue through the sheer number of users.
So the real question is whether Facebook can come up with an advertising model that is truly natural to its product (e.g. actual product recommendations by friends in conversations etc.). To conclude that Facebook is doomed to fail because their advertising model is suboptimal seems to be a little premature.
We are looking for people who are passionate about building applications for finding information in unstructured and semi-structured data. Why should you work with us? We have just recently been named as one of the world’s most innovative companies in big data [1].
Our small team is working on a new prototype that will help automatize and scale information extraction on unstructured data by a patent-pending learn-by-example method. Currently our goal is to make information extraction in legal contracts easier, but we really focus on all kinds of unstructured or semi-structured information.
If you have expertise in Machine Learning and/or Natural Language Processing, are familiar with building enterprise applications and/or have great design and frontend skills, we would love to get in touch with you. We are generally looking for strong generalists who are familiar with at least two of the described three areas and share our vision.
Our stack is largely Java/jQuery/CSS/HTML5-based, but we also use Ruby on Rails for rapid prototyping.
Depending on your area of expertise, you should have:
In any case you should have:
We offer competitive compensation with benefits and a work experience with a high degree of freedom and flexibility (work hours/work from home option) - what’s important to us is the result of your work. While you would be part of a small but growing team working on a completely new product, you would enjoy the perks and benefits of a fast-growing company.
[1] http://www.fastcompany.com/most-innovative-companies/2013/in...
If this sounds interesting, let’s talk! Send me your resume/CV and links to github, projects or blogs etc.: julian (dot) riediger (at) recommind (dot) com
-Julian (Technical Product Manager)