Your Impact
Disco is hiring a Software Engineer to enhance our AI-driven legal tech. This role focuses on data engineering and cataloguing, optimizing data infrastructure, and collaborating with AI/ML teams. Key responsibilities include developing and optimizing ML systems, transitioning R&D prototypes to production, and debugging issues. You'll work on data transformations, anomaly detection, and managing latency, throughput, and system performance. Emphasis is on building efficient data platforms, cataloging data for better access and transformation, and supporting distributed ML systems. The role involves developing supporting infrastructure/Platforms for deep learning and NLP techniques to advance Disco’s AI solutions.
What You'll Do
- Develop, debug, and deploy software to support AI/ML data solutions in an R&D context and in backend production components
- Harden research prototypes in preparation for production deployment
- Provide engineering support for top-level ML scientists to help them access and manipulate data and build research prototypes
- Advise ML scientists on the engineering implications and opportunities of their ideas
- Participate as a team member in domain-driven design processes, from requirements gathering to system design, implementation, and deployment
Who You Are
- 4+ years experience in software development and deployment
- 4+ years of experience in Python
- 2+ years of experience in AWS
- 2+ years working with highly distributed systems
- 1+ years of experience working with unstructured data (NLP/NLU preferred)
- Experience with data management systems, including relational databases, data frames, and distributed file systems
- 2+ Years of experience in Data Catalog
- 3+ Years in Data Engineering , Data pipelines , Kafka etc
- Reasonable prior exposure to best practices in software development lifecycle, and a commitment to implementing these practices appropriately in context
- Personal communication skills to facilitate the productive professional interaction with ML scientists and other engineers
- Basic understanding of Data Science Tools Model creation , LLM interaction .
Even Better If You Have...
- Conceptual knowledge of machine learning techniques and workflows
- Basic understanding of machine learning methods, especially deep learning for NLP
- Familiarity with a few 3rd party tools and libraries in the ML space, such as PyTorch, Pandas, Tensorboard, CometML, CUDA, cuDF, Dask, RAPIDS, Jupyter Labs/notebooks, etc.
- Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (IaC)
- AWS offerings such as: batch, Sagemaker, SQS, ECR, ECS, Glue, Athena, etc.
- Kafka, protobuf, gRPC
Perks of DISCO
- Open, inclusive, and fun environment
- Benefits, including medical and dental insurance
- Competitive salary plus discretionary bonus
- Opportunity to be a part of a startup that is revolutionizing the legal industry
- Growth opportunities throughout the company
About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
