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Senior ML Research Engineer – AI & Generative Recommendation(m/w/x)
Designing AI-native recommendation pipelines and leading generative retrieval for mobile ads. PhD or MSc with extensive research experience required. Hybrid work, 3 weeks remote per year.
Requirements
- PhD in CS, Stats, Math, or Physics (or MSc with extensive industry research)
- Track record of publications in top-tier venues
- 4+ years building large-scale recommenders
- Experience in high-throughput industries (AdTech, E-com, or Social)
- Deep proficiency in PyTorch
- Experience in high-concurrency optimization
- Experience in model quantization
- Experience in model distillation
- Ability to create roadmaps and solve unsolved problems
- Direct impact on business ROI
Tasks
- Design and implement AI-native recommendation pipelines
- Lead generative retrieval, deep ranking, and re-ranking processes
- Distill state-of-the-art research into production-ready code
- Optimize code for sub-millisecond latency
- Research information-rich embeddings
- Create unified user and ad representations
- Transfer innovative technologies to high-concurrency environments
- Ensure large-scale generative models perform under production constraints
- Lead architectural debates
- Mentor junior scientists
- Foster a collaborative team environment
- Provide constructive feedback
Work Experience
- 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
Benefits
Flexible Working
- Hybrid work setup
- Flexible working hours
- 3 weeks remote work per year
Career Advancement
- Regular feedback
Learning & Development
- Development program
Additional Allowances
- Relocation bonus
More Vacation Days
- 30 vacation days
Healthcare & Fitness
- In-house gym
- Fitness classes
Mental Health Support
- Employee Assistance Program (EAP)
Team Events
- Team events
- Company events
- Hackathons
- Social gatherings
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Senior ML Research Engineer – AI & Generative Recommendation(m/w/x)
Designing AI-native recommendation pipelines and leading generative retrieval for mobile ads. PhD or MSc with extensive research experience required. Hybrid work, 3 weeks remote per year.
Requirements
- PhD in CS, Stats, Math, or Physics (or MSc with extensive industry research)
- Track record of publications in top-tier venues
- 4+ years building large-scale recommenders
- Experience in high-throughput industries (AdTech, E-com, or Social)
- Deep proficiency in PyTorch
- Experience in high-concurrency optimization
- Experience in model quantization
- Experience in model distillation
- Ability to create roadmaps and solve unsolved problems
- Direct impact on business ROI
Tasks
- Design and implement AI-native recommendation pipelines
- Lead generative retrieval, deep ranking, and re-ranking processes
- Distill state-of-the-art research into production-ready code
- Optimize code for sub-millisecond latency
- Research information-rich embeddings
- Create unified user and ad representations
- Transfer innovative technologies to high-concurrency environments
- Ensure large-scale generative models perform under production constraints
- Lead architectural debates
- Mentor junior scientists
- Foster a collaborative team environment
- Provide constructive feedback
Work Experience
- 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
Benefits
Flexible Working
- Hybrid work setup
- Flexible working hours
- 3 weeks remote work per year
Career Advancement
- Regular feedback
Learning & Development
- Development program
Additional Allowances
- Relocation bonus
More Vacation Days
- 30 vacation days
Healthcare & Fitness
- In-house gym
- Fitness classes
Mental Health Support
- Employee Assistance Program (EAP)
Team Events
- Team events
- Company events
- Hackathons
- Social gatherings
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
adjoe
Industry
Marketing
Description
The company is a leading mobile ad platform developing cutting-edge advertising and monetization solutions for app partners.
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