DescriptionLocation: New York City (Near Grand Central Station)
Employment Type: Full-time
Work Arrangement: Hybrid (3-5 days per week in-person)
About the Role
Our client a rapidly growing AI startup with a mission to reinvent the $80B market research industry is looking for a Member of Technical Staff (ML/AI Focus). The clients platform acts as an AI qualitative researcher transforming customer interviews into quantitative insights. Youll work closely with a founding team of former Lyft and Ro executives to pioneer the intersection of AI and user research.
This is a foundational role where you will architect the core AI infrastructure and be critical to their mission of merging qualitative and quantitative research.
What Youll Own
In your first year you will:
- Own the development of synthetic user capabilities.
- Design scalable AI pipelines to handle thousands of user interviews.
- Explore and execute model fine-tuning opportunities for interview analysis and insight generation.
- Be responsible for building cutting-edge AI systems that power the platforms core differentiator.
Requirements- 4 years of professional ML/AI engineering experience or a recent PhD with relevant research.
- Prior research experience is highly valued.
- Experience working at startups or fast-growing tech companies is ideal.
Benefits- Salary: $120K - $250K
- Equity: 0.3% - 2%
- Work Policy: Hybrid setup (3 to 5 times per week in-person in NYC).
- Visa Sponsorship: Not available except for candidates eligible for quick visas (e.g. Canadian or Mexican citizens).
Due to the high volume of applications we anticipate we regret that we are unable to provide individual feedback to all you do not hear back from us within 4 weeks of your application please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs we are committed to offer equal opportunities to all candidates. We ensure no discrimination accessible job adverts and providing information in accessible formats. Our goal is to foster a diverse inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by
MLabs Ltd collects and processes the personal information you provide such as your contact details work history resume and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltds Privacy Policy and Information Security Policy and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting
Required Experience:
Staff IC
DescriptionLocation: New York City (Near Grand Central Station)Employment Type: Full-time Work Arrangement: Hybrid (3-5 days per week in-person)About the RoleOur client a rapidly growing AI startup with a mission to reinvent the $80B market research industry is looking for a Member of Technical Staf...
DescriptionLocation: New York City (Near Grand Central Station)
Employment Type: Full-time
Work Arrangement: Hybrid (3-5 days per week in-person)
About the Role
Our client a rapidly growing AI startup with a mission to reinvent the $80B market research industry is looking for a Member of Technical Staff (ML/AI Focus). The clients platform acts as an AI qualitative researcher transforming customer interviews into quantitative insights. Youll work closely with a founding team of former Lyft and Ro executives to pioneer the intersection of AI and user research.
This is a foundational role where you will architect the core AI infrastructure and be critical to their mission of merging qualitative and quantitative research.
What Youll Own
In your first year you will:
- Own the development of synthetic user capabilities.
- Design scalable AI pipelines to handle thousands of user interviews.
- Explore and execute model fine-tuning opportunities for interview analysis and insight generation.
- Be responsible for building cutting-edge AI systems that power the platforms core differentiator.
Requirements- 4 years of professional ML/AI engineering experience or a recent PhD with relevant research.
- Prior research experience is highly valued.
- Experience working at startups or fast-growing tech companies is ideal.
Benefits- Salary: $120K - $250K
- Equity: 0.3% - 2%
- Work Policy: Hybrid setup (3 to 5 times per week in-person in NYC).
- Visa Sponsorship: Not available except for candidates eligible for quick visas (e.g. Canadian or Mexican citizens).
Due to the high volume of applications we anticipate we regret that we are unable to provide individual feedback to all you do not hear back from us within 4 weeks of your application please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs we are committed to offer equal opportunities to all candidates. We ensure no discrimination accessible job adverts and providing information in accessible formats. Our goal is to foster a diverse inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by
MLabs Ltd collects and processes the personal information you provide such as your contact details work history resume and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltds Privacy Policy and Information Security Policy and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting
Required Experience:
Staff IC
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