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Cerebras
Cerebras
501 – 1000 Zaposleni
SaaSStrojna opremaUmetna inteligenca
Cerebras razvija strojno opremo z umetno inteligenco v obsegu celotne silicijeve rezine in integrirano programsko opremo za visokozmogljivo učenje ter izvajanje modelov. Njegov Wafer-Scale Engine poganja sistem CS-3 in Cerebras Inference Cloud, ki podpira delovne tokove, združljive z OpenAI API, ter uvajanje v lokalnih, oblačnih in robnih okoljih. Platforma podjetja je zasnovana za aplikacije, kot so streženje modelov, fino prilagajanje, predhodno učenje, agenti umetne inteligence v realnem času, genomika, odkrivanje zdravil, kibernetska varnost in poslovno iskanje. Cerebras združuje specializirane čipe, sisteme in programsko opremo za organizacije, ki gradijo in upravljajo zahtevne obremenitve umetne inteligence, ter ima ekipo od 501 do 1.000 zaposlenih.
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Delovna mesta v podjetju

Applied AI/ML Scientist

Develop and scale custom language models for Cerebras’ wafer-scale AI hardware. Turn customer challenges into training strategies and agentic AI systems.

USZdružene države AmerikeCAKalifornijaHibridnoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaUmetna inteligenca
PythonPyTorch

Opis

  • Develop tailored large language and deep learning models for customer use cases
  • Work with customer stakeholders to identify AI solutions to business problems
  • Assess feasibility, data quality and readiness, and model architecture when scoping engagements
  • Set project milestones, success measures, and evaluation benchmarks
  • Design and run end-to-end training recipes for custom models
  • Create model adaptation strategies, including continued pretraining, supervised fine-tuning, RLHF, and DPO
  • Manage training pipelines from data preparation and tokenization through hyperparameter tuning and loss analysis
  • Assess model convergence, loss behavior, and gradient stability on specialized hardware
  • Scale training workloads with billions of parameters across Cerebras clusters
  • Develop and optimize agentic system features for tool use, long-context reasoning, and multi-step planning
  • Provide AI/ML expertise in technical deep-dives
  • Build and sustain customer relationships as their primary AI/ML expert
  • Bring customer needs to internal research and engineering teams
  • Work with machine learning and product teams on model architectures, training recipes, and internal case studies
  • Turn successful customer engagements into internal playbooks

Zahteve

  • Hold a master’s or PhD in computer science, machine learning, or a related field
  • Demonstrate expert knowledge of dense transformers, mixture-of-experts, multimodal and sequence models, scaling laws, and training dynamics
  • Show a proven record of training or fine-tuning large models with 1B+ parameters
  • Have direct experience addressing large-scale model training challenges
  • Be highly proficient in Python and PyTorch
  • Have experience with distributed training frameworks
  • Have experience with large-scale distributed data processing pipelines and tools
  • Bring strong collaboration and communication skills
  • Work independently and with a team in a dynamic environment
  • Manage multiple projects and adapt as customer needs change
  • Present complex technical findings to audiences from C-suite executives to research scientists

Ugodnosti

  • Help build an AI platform designed to move beyond GPU constraints
  • Publish and open-source advanced AI research
  • Work with one of the world’s fastest AI supercomputers
  • Combine startup energy with job stability
  • Join a straightforward, non-corporate culture that respects individual beliefs
  • Access ongoing learning, growth, and support

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