अय्यूब
भागीदारभोजनात्
Internship - Machine Learning Research Engineer
अनुरोधेन मूल्यम्
विवरणम्
- रोजगार प्रकार
- पूर्णकालिक
- दूरस्थः
- न
- कम्पनी
- Perplexity
वर्णनम्
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 more English Speaking 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 more English Speaking Jobs in Germany on Arbeitnow
Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/perplexity/internship-machine-learning-research-engineer-berlin-168024)
इयं सूचीः भागीदार-फीड्-तः आगच्छति । स्रोतजालस्थले आवेदनं कुर्वन्तु।
स्रोतः: Perplexity
स्थानम्
बर्लिन, जर्मनीदेशः
Perplexity द्वारा प्रदत्तं सूचीकरणम्।
