Time since we first saw it
Day 154
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,339 similar postings that came down. Coming down is not always a hire.
Senior Machine Learning Scientist / Machine Learning Scientist (LLM)
Remote, India
Open 5 months, first seen by us 154 days ago- Pay
- Pay not listed
- Work setting
Working pattern needs review — work setting source
Listed location: Remote, India
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingBuild machine learning solutions for problems of societal importance
Curate and transform data, train and validate models
Create evaluations and benchmarks and run simulations
Mentor junior researchers, post-docs, and interns
Work with social sector organisations and cross-functional teams
From the employer’s posting
building machine learning solutions to problems of societal importance
curate and transform data, train and validate models
create evaluations and benchmarks, run simulations
You will mentor junior researchers, post-docs, and interns
You will also work closely with social sector organisations
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with relevant work experience of 6+ years OR a Master’s degree in these fields with 4+ years of relevant experience OR a Ph.D. in Machine Learning with a focus on LLMs from a reputed institute.
- Familiarity with popular deep learning algorithms, transformer architectures, and advances in LLMs or foundation models is required.
Preferred experience
- Experience with building and evaluating conversational (multi-turn) chatbots is a plus.
Qualification wording
Bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with relevant work experience of 6+ years OR a Master’s degree in these fields with 4+ years of relevant experience OR a Ph.D. in Machine Learning with a focus on LLMs from a reputed institute.
We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should also have a strong research background, have experience in mentoring junior researchers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations. Familiarity with popular deep learning algorithms, transformer architectures, and advances in LLMs or foundation models is required.
Experience with building and evaluating conversational (multi-turn) chatbots is a plus.
Education & alternatives
We are looking for a Machine Learning Scientist with specific background and skills in the LLM space, who is passionate about applying AI and ML to solve high-impact societal challenges. The ideal candidate will have a strong research background with 3+ years of relevant LLM experience or a PhD in the LLM area, and expertise in designing and implementing machine learning models, data analysis, and simulations. The candidate should have expertise beyond building RAG systems and prompt engineering. They should be skilled in mentoring junior researchers, working in cross-functional teams, and contributing to both practical deployments and academic research. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential. - As an ML Scientist, you will be responsible for building machine learning solutions to problems of societal importance and mentoring other team members in this effort. You will participate in stakeholder engagements, setting critical requirements, problem definition, and the development and execution of algorithms and solutions to the problems.
Requirements - Bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with relevant work experience of 6+ years OR a Master’s degree in these fields with 4+ years of relevant experience OR a Ph.D. in Machine Learning with a focus on LLMs from a reputed institute. - We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should also have a strong research background, have experience in mentoring junior researchers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations. Familiarity with popular deep learning algorithms, transformer architectures, and advances in LLMs or foundation models is required.
Benefits in the posting
Full benefits wording- Insurance Benefits - Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance.
- Wellness Program - Employee Assistance Program, Annual Health Check-Ups, Onsite Medical Centers, Emergency Support System.
- Parental Support - Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program
- Mobility Benefits - Travel Policy, Relocation and Deputation benefits,
- Statutory Benefits - Employee PF Contribution, Gratuity, Leave Encashment
- Other Benefits – Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance.
From the employer’s posting.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026154 days ago
- Recorded sightings
- 99
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Wadhwani AI is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
We are looking for a Machine Learning Scientist with specific background and skills in the LLM space, who is passionate about applying AI and ML to solve high-impact societal challenges. The ideal candidate will have a strong research background with 3+ years of relevant LLM experience or a PhD in the LLM area, and expertise in designing and implementing machine learning models, data analysis, and simulations. The candidate should have expertise beyond building RAG systems and prompt engineering. They should be skilled in mentoring junior researchers, working in cross-functional teams, and contributing to both practical deployments and academic research. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential.
As an ML Scientist, you will be responsible for building machine learning solutions to problems of societal importance and mentoring other team members in this effort. You will participate in stakeholder engagements, setting critical requirements, problem definition, and the development and execution of algorithms and solutions to the problems.
To apply machine learning and related technologies for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, create evaluations and benchmarks, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning engineering, solutions, domain experts, and designers. You will also work closely with social sector organisations and are encouraged to collaborate with researchers across the world.
You will be encouraged to drive fundamental advances to the technology domains themselves as part of the efforts towards their application, present your work in technical and other forums of interest, and publish in leading conferences and journals.
Excellence as an individual contributor goes together with good teamwork and collaboration. You will mentor junior researchers, post-docs, and interns, and participate in recruiting and hiring activities. You will also be expected to interact with external partners when required, and to make periodic visits to the communities from where challenges are derived and where the solutions will be deployed.
Requirements
Bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with relevant work experience of 6+ years OR a Master’s degree in these fields with 4+ years of relevant experience OR a Ph.D. in Machine Learning with a focus on LLMs from a reputed institute.
We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should also have a strong research background, have experience in mentoring junior researchers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations. Familiarity with popular deep learning algorithms, transformer architectures, and advances in LLMs or foundation models is required.
Experience with building and evaluating conversational (multi-turn) chatbots is a plus.
Candidates should be comfortable working with cross-functional teams, have excellent oral and written communication skills, and a track record of driving projects to completion. Evidence of written skills through high quality research publications is a plus.
Candidates should be passionate about using their technical skills to solve large societally important problems.
Benefits
Wadhwani AI - Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
- Insurance Benefits - Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance.
- Wellness Program - Employee Assistance Program, Annual Health Check-Ups, Onsite Medical Centers, Emergency Support System.
- Parental Support - Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program
- Mobility Benefits - Travel Policy, Relocation and Deputation benefits,
- Statutory Benefits - Employee PF Contribution, Gratuity, Leave Encashment
- Other Benefits – Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance.
We care deeply about the well-being of our employees and their families. You will get an opportunity to take on roles beyond a defined job description. Take a look at our website www.wadhwaniai.org to learn more about our work on AI for Social Impact. These are just some of the reasons why working with us is more than just a job — it's a chance to grow, thrive and contribute to society.
Source details
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- Pay
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- Location & working pattern
Remote, India
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- Work authorization
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