Wadhwani AI

Google employees join the Wadhwani family on a 6-month Fellowship program. 

Nine Google Fellows will work across departments.
This is a unique partnership between Google.org and Wadhwani AI.

This month we welcome nine Google Fellows into the Wadhwani Institute for Artificial Intelligence (Wadhwani AI) family, albeit temporarily. The Google.org Fellowship program is a pro-bono program that matches Google employees with Google.org (Google’s philanthropic arm) grantees for up to six months on full-time technical projects. During this time, they will join various teams within the organisation and collaborate to enable a free exchange of ideas, knowledge, experience, and expertise. 

Before we begin introductions, we want to stop and address that this has been a unique year. Covid-19 put most of our plans in disarray. In a normal year, these fellows would have been on the field, talking to farmers, understanding their behaviour, and helping us develop the Early Warning Pest Management System for cotton farmers. 

But this year is different. While they may not be able to visit the field, what we do get is their time. What Covid-19 has also done is to make it possible for a very diverse group of people from across the globe to be temporarily part of our organization. Google Fellows will be embedded across engineering, product and program management, marketing, partnerships, and UX/UI Design. We are really excited to see what they will bring to the table.

This is a unique partnership between Google.org and Wadhwani AI. Often, organisations are wary of sharing knowledge, but Google has always been ready to help, understand, listen, and incorporate our expertise.

There is one thing we are looking forward to learning—the ability to scale swiftly and painlessly.

Anna Achilles, Google.org volunteering lead for APAC, said, “At Google.org, our goal is to connect innovative nonprofits with Google’s resources to solve complex challenges through funding, technology, and our employees. We’re extremely excited to launch our first Google.org fellowship program in this region in India, where our employees can contribute their skills and make a sustainable impact, together with the Wadhwani AI team. We look forward to hearing more about their experiences in the coming months.” 

Let’s introduce these fellows. 

Abhishek Saigal, Marketing Manager 

Abhishek is Head of Consumer and Market Insights for Google India. In his current role, he focuses on decoding consumer insights for Google and its advertisers. For the next six months, Abhishek will work on Wadhwani AI’s Pest Management System marketing approach and go-to-market strategy. 

Mrinal Sharma, UX Designer

Mrinal leads Google Search and Discover UX efforts for India & South-East Asian users based in Bangalore, India. He has 13+ years of experience crafting UX for large-scale tech products, focusing on designing for the next billion Internet users and emerging behaviours. For the next six months, Mrinal will work on the user experience and the Pest Management System design for cotton farmers.

Prashanth B, Software Engineer / Tech Lead

Prashanth is a Software Engineer at Google. He has worked on the end-to-end development of various products like Chrome, Cloud, and Payments in his time with the company. For the next six months, Prashanth will work on machine learning and backend engineering projects for Wadhwani AI.

Suresh Vedula, Partnerships Manager 

Suresh is the Head of Partnerships, Next Billion Users, and is responsible for building an ecosystem that enhances the promise of products and services created for the New Internet Users. For the next six months, Suresh will work on the Pest Management System’s partner strategy and engagement.

Aurelia Martin, Program Manager 

Aurelia is the Japan Lead on the Payments Product Operations team. In her role, she focuses on building the Product Strategy for Google Pay, providing market, users & technical insights to the Product and Engineering teams. For the next six months, Aurelia will support project and program management for the Pest Management System. 

Jakub Młynarczyk, Software Engineer / Site Reliability Engineer

Jakub is a software engineer on the Technical Infrastructure team. In this role, he focuses on designing software solutions enabling Google to expand its network infrastructure footprint across the World. For the next six months, Jakub will work on machine learning and backend engineering projects for Wadhwani AI.

Ako Kitamura, UX Research 

Ako is a Merchandising Manager for the Google Play Store app in Japan, focusing on its campaign launches, product improvements based on access and consumer trends analysis. For the next six months, Ako will work on the user research for the Pest Management System. 

Robert Tung, Product Manager 

Robert is a Product Manager on Google Maps, focusing on Questions & Answers, or Q&A. Robert has previously worked on place recommendations in Google Maps and on comments. For the next six months, Robert will support Product Management for the Pest Management System. 

Abhiram Kasina, Software Engineer / Backend & ML 

Abhiram Kasina is a Tech Lead on the Google Pay team. In this role, he focuses on merchant payments in Singapore and expanding them to the rest of the world. For the next six months, Abhiram will work on machine learning and backend engineering projects for Wadhwani AI.

But it doesn’t stop here. We will also have two additional Google employees, who will dedicate 20% of their working schedule to support us with some of our work. 

Marcel in ‘t Veen, Partnerships Development / Program Manager

Marcel is a business development manager that built the Google My Business Partnerships Program for APAC. For the next six months, Marcel will work on the partner engagement for the Pest Management System. 

Muzayun Mukhtar, UX Researcher

Muzayun is a product research lead at the Next Billion Users (NBU) team at Google. Her research work lies at the intersection of economic development, trust, and hyperlocal online communities in emerging markets. For the next six months, Muzayun will work on user research for the Pest Management System. 

  • Wadhwani AI

    We are an independent and nonprofit institute developing multiple AI-based solutions in healthcare and agriculture, to bring about sustainable social impact at scale through the use of artificial intelligence.

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ML Engineer

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)

  • Setup and structure code bases that support an interactive ML experimentation process, as well as quick initial deployments
  • Develop and maintain toolsets and processes for ensuring the reproducibility of results
  • Code reviews with other technical team members at various stages of the PoC
  • Develop, extend, adopt a reliable, colab-like environment for ML

Late PoC

This is early to mid-stage of AI product development

  • Develop ETL pipelines. These can also be shared and/or owned by data engineers
  • Setup and maintain feature stores, databases, and data catalogs. Ensuring data veracity and lineage of on-demand pulls
  • Develop and support model health metrics

Post PoC

Responsibilities during production deployment

  • Develop and support A/B testing. Setup continuous integration and development (CI/CD) processes and pipelines for models
  • Develop and support continuous model monitoring
  • Define and publish service-level agreements (SLAs) for model serving. Such agreements include model latency, throughput, and reliability
  • L1/L2/L3 support for model debugging
  • Develop and support model serving environments
  • Model compression and distillation

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

  • Expert level Python programmer
  • Hands-on experience with Python libraries
    • Popular neural network libraries
    • Popular data science libraries (Pandas, numpy)
  • Knowledge of systems-level programming. Under the hood knowledge of C or C++
  • Experience and knowledge of various tools that fit into the model building pipeline. There are several – you should be able to speak to the pluses and minuses of a variety of tools given some challenge within the ML development pipeline
  • Database concepts; SQL
  • Experience with cloud platforms is a plus
mle

ML Scientist

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

  • B.Tech./B.E./B.S./M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics, or a relevant quantitative field. Work experience beyond the terminal degree will determine the appropriate seniority level.
  • Solid software engineering skills across one or multiple languages including Python, C++, Java.
  • Interest in applying software engineering practices to ML projects.
  • Track record of project work in applied machine learning. Experience in applying AI models to concrete real-world problems is a plus.
  • Strong verbal and written communication skills in English.
mls