Making immediate contributions to projects, rapidly building trust with your clients and team
Working pragmatically to balance technology choices while delivering high-quality work within deadlines
Contributing to architecture and software design discussions
Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
Contributing to formal feedback conversations with teams and clients via retrospectives
Clearly articulating and documenting outcomes and driving forward action items
Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
Identifying, mitigating, and resolving blockers to team progress
Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry
Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate
Requirements
4+ years of experience on a variety of projects
Successfully contributed to high-stakes consulting engagements from discovery to production
Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served
Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics)
Used context-appropriate automated testing to inform software design choices and catch bugs
Debugged and refactored pre-existing code to incrementally improve it
Collaborated with teams using Git, MacOS/Linux, and CI/CD
Remedied architecture-level concerns such as scalability, security, reliability, and performance
Contributed to forums that encourage idea sharing, collaboration, and problem solving
Made thoughtful recommendations and set direction in the face of ambiguity
Mentored and shared knowledge with colleagues
Actively sought out and effectively given feedback
Communicated empathically with stakeholders and colleagues
Influenced stakeholders to balance technical considerations with product and user needs.
Tech Stack
Java
JavaScript
Linux
MacOS
Python
React
Ruby
Scala
SQL
TypeScript
Go
Benefits
A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
Coworking support for our global team
12 weeks of new parent leave available for eligible employees