Internship - Machine Learning Research Engineer
Perplexity
· Berlin
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·
Accepting first candidate pitches
Full-Time
35–40 Hours / Week
Competitive
Offered by host company
Certificate & LOR
Official recommendation
3 Months
Live until 2027-01
Job Description & Overview
Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office. Responsibilities Relentlessly push search quality forward — through models, data, tools, or any other leverage available. Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models. Conduct research in representation learn
Key Responsibilities
- Internship Program Berlin Internship program: 12
- person in the Berlin office. Responsibilities Relentlessly push search quality forward — through models, data, tools, or any other leverage available. Train, and optimize large
- scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models. Conduct research in representation learn
Stipend & Incentive Qualification Criteria
Stipend is paid upon completing assigned project milestones along with maintaining required attendance and task completion as evaluated by the host organisation.
Skills & Tech Stack
Deep Learning
Apply by: 2027-01-23
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Stipend, if applicable, is contingent on assignment to a paid project and completion of required certifications. Full terms apply.