Senior Platform Engineer, Machine Learning
Fieldguide- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates should possess excellent programming and software engineering skills in Julia, Python, C++, and ML-family languages. They must have demonstrated the ability to drive software projects from start to finish, evidenced by open-source projects, technical reports, or publications. A high degree of autonomy and comfort with uncertainty is required, along with a passion for solving real-world problems and making a positive societal impact. Significant technical achievements in ML engineering are essential, such as implementing newly published techniques from scratch and building systems for training large models distributed across many machines. A PhD or equivalent experience is preferred.
Research engineers at Basis will support the organization's mission by translating research ideas into correct, robust, and scalable high-quality code. They will engage in core areas of machine learning research engineering, including probabilistic programming, deep learning, causal inference, program synthesis, and ML Ops. The role involves working collaboratively with both internal teams and external partners to tackle challenges larger than those they can address alone.
Platform for developing financial applications
Basis provides a platform that assists businesses in creating financial applications. The platform includes a variety of tools and integrations that simplify the process of building, testing, and deploying these applications. Clients, which range from financial institutions to fintech startups, can access the platform through a subscription model, paying for its features and support. Basis distinguishes itself from competitors by focusing on streamlining the development process and offering custom solutions tailored to the specific needs of its clients. The company's goal is to empower businesses to innovate and enhance their financial operations through improved application offerings.