AI Researcher

Summary

Join Thoughtworks as an AI Researcher and lead innovative AI research projects, applying your expertise in machine learning and related fields. You will define research agendas, conduct experiments, develop research code, and communicate findings through publications. Collaboration with cross-functional teams is key, as you disseminate discoveries to various stakeholders. Staying current with industry advancements and mentoring junior team members are also crucial aspects of this role. This position offers the chance to engage in cutting-edge projects, solve complex AI challenges, and contribute to scientific knowledge. Thoughtworks fosters a culture of learning and development, supporting your career growth.

Requirements

• Recent publications from 2023/2024 on Google Scholar profile
• Applicants must hold US citizenship or a Green Card
• Experience leading AI research projects, from problem definition through to publishing and presenting results
• Proficient in machine learning, deep learning, statistical modeling, hypothesis testing, optimization, and other AI techniques to conduct novel research
• Expertise in at least one specialized area of AI (e.g., natural language processing, computer vision, generative models, etc.)
• Skilled in using Python, along with modern deep learning tooling (e.g. PyTorch, the HuggingFace library stack, etc.)
• Familiarity with research tools, version control, and open-source practices to maintain high standards of code quality and reproducibility
• Develop and implement novel machine learning models and algorithms, focusing on advancing the field and publishing research results
• Interpret and effectively communicate complex research findings to both technical and non-technical stakeholders through various formats
• Ph.D. or Master’s degree in Computer Science, Mathematics, Machine Learning, or a related field, with a focus on AI or mathematical modeling
• 2+ years of experience in AI, machine learning, or a related discipline
• Strong foundation in mathematics and an openness to exploring multiple research methodologies

Responsibilities

• Lead and manage AI research projects from inception to completion, including setting research objectives, designing experiments, and ensuring rigorous methodology
• Collaborate with stakeholders to identify and define research problems that align with strategic objectives and advance the field of AI
• Conduct original research to develop new models, algorithms, and methodologies, focusing on publishing results in top-tier academic conferences and journal
• Develop high-quality research code and contribute to open-source projects, ensuring reproducibility and accessibility of research findings
• Design and execute experiments to test hypotheses, validate models, and explore new AI techniques
• Communicate research findings and insights through academic papers, technical reports, presentations, and other dissemination methods
• Mentor junior researchers, fostering a collaborative and innovative research environment that encourages learning and knowledge sharing
• Adhere to ethical guidelines and best practices in AI research
• Stay up-to-date with the latest advancements in AI research and contribute to Thoughtworks’ thought leadership in the AI community

Preferred Qualifications

• Experience with LLMs and natural language processing in a research setting
• Familiarity with research in AI alignment, interpretability, or evaluation
• Experience contributing to publications in reputable AI/ML conferences and journals

Benefits

• Learning & Development: There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys
• #LI-Remote