ယွပ်ႉ၊
လုၵ်ႉတီႈ ၽူႈႁူမ်ႈၼႃႈၵၢၼ်
Internship - Machine Learning Research Engineer
ၵႃႈၶၼ်ၸွမ်းၼင်ႇယွၼ်း
ႁူဝ်ယွႆႈ
- မဵဝ်းၵၢၼ်ငၢၼ်း
- ၸူဝ်ႈၶၢဝ်း
- ရီႇမွတ်ႇ
- ဢမ်ႇၸႂ်ႈ
- ၶွမ်ႊပၼီႊ
- Perplexity
ၶေႃႈသပ်းလႅင်း
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 learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.
• Build and optimize RAG pipelines for grounding and answer generation.
Qualifications
• Understanding of search and retrieval systems, including quality evaluation principles and metrics.
• Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.
• Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation.
• Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).
Find Jobs in Germany on Arbeitnow
Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/perplexity/internship-machine-learning-research-engineer-berlin-168024)
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 learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.
• Build and optimize RAG pipelines for grounding and answer generation.
Qualifications
• Understanding of search and retrieval systems, including quality evaluation principles and metrics.
• Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.
• Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation.
• Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).
Find Jobs in Germany on Arbeitnow
Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/perplexity/internship-machine-learning-research-engineer-berlin-168024)
သဵၼ်ႈမၢႆၼႆႉ လုၵ်ႉတီႈ ၽူႈႁူမ်ႈၼႃႈၵၢၼ် မႃး။ တၢင်ႇယွၼ်းတီႈဝႅပ်ႉသၢႆႉ ဢၼ်ပဵၼ်ငဝ်ႈငႃႇ။
ၶေႃႈမုလ်း: Perplexity
ဢွင်ႈတီႈ
Berlin, မိူင်းၵျႃႇမၼီႇ
သဵၼ်ႈမၢႆ ဢၼ် Perplexity ပၼ်ဝႆႉ။