Employer Industry: Legal and Information Services
Why consider this job opportunity:
- Hybrid work model allowing flexibility with 2-3 days a week in the office
- Work from anywhere for up to 8 weeks per year to promote work-life balance
- Comprehensive benefits including flexible vacation, mental health days, and tuition reimbursement
- Opportunities for career development and growth through continuous learning programs
- Award-winning company culture focused on inclusion, belonging, and social impact
- Chance to make a real-world impact in the pursuit of justice, truth, and transparency
What to Expect (Job Responsibilities):
- Provide technical leadership and partner with engineers to enhance methodologies and technology stacks
- Engage in the entire software development lifecycle, building, testing, and delivering high-quality solutions
- Create large-scale data processing pipelines for machine learning algorithm development
- Collaborate within a team-oriented environment, valuing diverse ideas and cross-functional partnerships
- Innovate by trying new approaches, contributing ideas, and ensuring end-to-end delivery accountability
What is Required (Qualifications):
- Bachelor's Degree in Computer Science or a related field
- Minimum of 8 years of software engineering experience, with at least 2 years focused on machine learning products or solutions
- Proven experience leading technical workstreams within a software engineering organization
- Proficient in Python software development and familiar with the Python data science stack
- Demonstrated adaptability in managing and delivering high-quality results in dynamic environments
How to Stand Out (Preferred Qualifications):
- Experience integrating machine learning solutions into production-grade software
- Familiarity with Natural Language Processing (NLP) tasks such as Named Entity Recognition (NER) and Information Retrieval
- Hands‑on experience with additional programming languages such as Java, TypeScript, or JavaScript
- Understanding of ModelOps and MLOps principles
#LegalTech #MachineLearning #SoftwareEngineering #CareerGrowth #FlexibleWork
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