| Job Description & How to Apply Below | |
 The Compensation $120k Benefits - Full Commission Compensation - No Bonus Eligible - Yes Overtime Eligible - No Relocation Assistance Available - No Interview Travel Reimbursed - No Detailed Description As a Lead Software Engineer at FindLaw, you will design the data authority for Findlaw's Lawyer Directory. Findlaw's Lawyer Directory has detailed profiles of attorneys and law firms from across the United States. We are looking for a highly motivated individual who will take ownership of the software throughout the entire development process. Division/Group/Role FindLaw is the leading provider of online legal information and solutions for the legal community, businesses and individuals. The FindLaw Internet portal is the highest-trafficked legal Web site, according to leading independent Internet-traffic-monitoring services. FindLaw also offers comprehensive information, resources and services for law practice and legal career development, including free case law, an online career center, breaking legal news, newsletters, message boards, service directories, continuing legal education and legal search tools. Key Responsibilities Work with both business partners and project leads to gather and analyze business requirements and translate them into technical tasks Design and develop data correlation, text mining, and information extraction algorithms Build frameworks for integrating structured and unstructured data More About the Position Internal Job ID - TEC00018469 The Candidate 7+ to 10 years of experience Management Experience Required - No Minimum Education - Bachelor's Degree Willingness to Travel - Occasionally | |
| Position Requirements | |
| Skills / Industry Qualifications Required: | Qualifications Qualifications, Experience, Knowledge and Skills Minimum Qualifications Masters degree in Computer Science/Math or higher preferred Experience 8+ years of related experience Strong practical experience in search/text-mining/natural language processing Hands on experience implementing high volume fielded and free text searches Experience with tools performing named entity recognition, document categorization Experience using XML databases (MarkLogic) and tools like Solr/Lucene Knowledge Knowledge of text classification, document clustering, and machine learning algorithms is a big plus Working knowledge of Java is required Skills Excellent written and verbal communication skills Strong problem solving |
| Education Level Required: | Bachelor |
| Experience Required to qualify for consideration: | 3 to 4 Years |
| Contact Information | |
| Contact Name: | Monte World Wide Staffing |
| Contact Phone: | 443-514-5400 |
| Preferred method of contact: | E-mail via Apply Online Box (below when logged in) |
| Apply for this Job Here | |
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