The Senior Alignment Researcher will lead research in AI alignment, focusing on strategies for the safe implementation of AI, collaborating with the CEO and other teams, mentoring junior staff, publishing findings, and engaging with the AI alignment community.

Data scientists will work on custom software and machine learning solutions, contribute to data science analyses, and engage in research projects focused on AI alignment. They will need strong problem-solving and self-management skills, effective communication, and fluency in Python.

The Senior Full Stack Developer will work on both internal and client projects, developing modern applications using a variety of JavaScript frameworks. Responsibilities include coding, testing, maintaining clean code, and actively collaborating with clients and team members. The position requires a proactive approach to problem-solving and an ownership mentality.

As a Tech Lead and Project Manager, you will oversee software projects, mentor team members, communicate with clients, and establish technology strategies. Your role requires a hands-on coding experience along with effective team management to ensure project timelines are met and maintain code quality.

The role involves collaborating with tech leads to design and manage product development processes in an Agile setting, interfacing with clients, creating product roadmaps, and facilitating meetings. Responsibilities also include conducting user testing, managing product timelines, and overseeing product releases, with a strong emphasis on enhancing user experience.

The Data Scientist will work on custom software and machine learning solutions while contributing to alignment research. Responsibilities include managing data science projects, utilizing Python, and collaborating with various stakeholders. Candidates should have problem-solving skills, experience with machine learning APIs, and a comfort with statistical methods. Self-management and autonomous work will be key for success.

The Data Scientist role involves collaborating with founders and executives to create custom software and machine learning solutions. Responsibilities include applying data science methods, statistics, NLP, calling machine learning APIs, and engaging in research into AI alignment. Candidates should demonstrate problem-solving and self-management skills.