Position: ML Tech Lead
Company: Art2Hire
Category: Lead
Experience required: 5y
English level: upper

**Location**: Remote or office
**Type**: Full time
**Start date**: ASAP

**About company:**

Founded in 2015 in Los Gatos, California, is dedicated to applying artificial intelligence and smart automation to the legal industry's most pressing operational challenges. We combine cutting-edge technology, advanced security, and continual evaluation of usability and customer value to build and deploy solutions that revolutionize the business of law.

**About your Role:**

We are looking for a talented ML Tech Lead (Principal) to join our research team for building AI-powered automation tools for time-consuming administrative tasks. It is a unique opportunity to work on amazing research tasks in NLP, including ML/DL applications in it. You will be putting state-of-the-art deep learning technology into production use and feel a complete research lifecycle from the study, data preparation/analysis to production code development.

**Job responsibilities:**

- Design and build new ML systems, services, and models that have a large impact on both our customers and our business;
- Identify business problems where AI/ML will bring value, work closely with product, research scientists and engineers to transform advanced technologies into product impacts;
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation;
- Build/integrate software processes and tools that improve the velocity of the team researching and developing algorithmic models;
- Lead complex technical, architecture, design, and product discussions and share within own team and across teams.

**Required qualifications:**

- MSc Physics or Computer Science; PhD is a plus;
- 5+ years of hands on experience as a software developer or software architect with at least 3 years focused on data processing or machine learning;
- Proficient in Python 3; familiar with scientific and data processing libraries;
- Excellent knowledge of algorithms and data structures;
- Strong experience of AI/ML development lifecycle methodologies, like MLOps;
- Solid knowledge and experience with at least one major deep learning framework (e.g. TensorFlow, PyTorch) and familiarity with NLP techniques;
- English - Upper Intermediate.