Wadhwani AI is an independent nonprofit institute at the intersection of accessible technology and impact. We bring together deep expertise in AI research, engineering, and design to develop solutions that tackle complex societal challenges.
We drive progress through world-class innovation, guided by a culture of excellence, humility, and relentless curiosity. Our multidisciplinary teams work together to create solutions that are practical, scalable, and focused on solving real problems.
We look for people with intent, creativity, and the ability to take initiative, those who can define complex problems, design solutions, and see them through with persistence. Whether it’s user research, algorithm development, or system design, we value people who take ownership and follow through.
We offer an environment of continuous learning. We encourage our team to apply their knowledge thoughtfully, grow through feedback, and embrace opportunities to learn from peers across disciplines. We believe that growth stems from both learning and doing.
We operate on a core belief: opportunities are abundant. What limits us is not resources, but the clarity of our intent, the strength of our perseverance, and the depth of our capabilities.
To leverage AI technology to serve the underserved in developing countries, and work towards ensuring that our innovations will improve the lives of those who need them the most.
We value ethics, competence, humility, and commitment to purpose. We invite people who are willing to question assumptions, bring cross-functional expertise, and adapt to new challenges with an open mind.
If you enjoy working collaboratively, value continuous learning, and want to contribute to shaping practical, impactful AI solutions, you’re likely to thrive at Wadhwani AI.
Simplicity, persistence, and excellence guide how we work.
Serve our cause. Our mission is often challenging but also opens up exciting opportunities to create innovative solutions and modernize existing delivery mechanisms, making them more efficient and effective. Build, hone, and use your capability to serve the underprivileged with an empathetic outlook. Grow through competent service.
Be curious. Learn by observing in an unbiased manner, immersing yourself in your core material, disseminating knowledge passionately and altruistically, and creating holistic patterns from jigsaw pieces. Aspire to attain clarity in the wake of ambiguity. When you do not know, ask. Grow by learning.
Express care through attitude and action to the people you interact with: your co-workers, our customers and donors, our end-users, and our partners. Be kind and courteous in all your interactions. For us, teamwork implies personal competence and empathy through care for others. Grow by caring.
Think clearly, write, and speak in a simple and concise manner, without errors. Our expression must be excellent, in absolute terms. That is our statement to the world. Grow by communicating.
Be a self-starter. Create work products of the highest quality, that we are proud to share with the world.
Our work includes problem definition, research publication, AI innovation, software design, user research, and measurement approach. Translate everything into a tangible outcome that accretes to our goals.
Reflect an ethical approach, simplicity, competence, persistence and humility in all that you do. Be creative and disciplined—know what approach applies at what times.
Make your education and experience count.
If you think you’d like to contribute to our mission, we’d love to bring you on board.
© 2025 Wadhwani AI
ROLES AND RESPONSIBILITIES
An ML Engineer at Wadhwani AI will be responsible for building robust machine learning solutions to problems of societal importance; usually under the guidance of senior ML scientists, and in collaboration with dedicated software engineers. To our partners, a Wadhwani AI solution is generally a decision making tool that requires some piece of data to engage. It will be your responsibility to ensure that the information provided using that piece of data is sound. This not only requires robust learned models, but pipelines over which those models can be built, tweaked, tested, and monitored. The following subsections provide details from the perspective of solution design:
Early stage of proof of concept (PoC)
Late PoC
This is early to mid-stage of AI product development
Post PoC
Responsibilities during production deployment
We realize this list is broad and extensive. While the ideal candidate has some exposure to each of these topics, we also envision great candidates being experts at some subset. If either of those cases happens to be you, please apply.
DESIRED QUALIFICATIONS
Master’s degree or above in a STEM field. Several years of experience getting their hands dirty applying their craft.
Programming
ROLES AND RESPONSIBILITIES
As an ML Scientist at Wadhwani AI, you will be responsible for building robust machine learning solutions to problems of societal importance, usually under the guidance of senior ML scientists. You will participate in translating a problem in the social sector to a well-defined AI problem, in the development and execution of algorithms and solutions to the problem, in the successful and scaled deployment of the AI solution, and in defining appropriate metrics to evaluate the effectiveness of the deployed solution.
In order to apply machine learning for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning ML modeling, engineering, product, and domain experts. You will also interface with social sector organizations as appropriate.
REQUIREMENTS
Associate ML scientists will have a strong academic background in a quantitative field (see below) at the Bachelor’s or Master’s level, with project experience in applied machine learning. They will possess demonstrable skills in coding, data mining and analysis, and building and implementing ML or statistical models. Where needed, they will have to learn and adapt to the requirements imposed by real-life, scaled deployments.
Candidates should have excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good.
DESIRED QUALIFICATIONS
