Cerebras
Cerebras
Cerebras yuqori unumdorlikdagi modellarni o‘qitish va inferens uchun plastina miqyosidagi sun’iy intellekt qurilmalari hamda integratsiyalashgan dasturiy ta’minotni ishlab chiqadi. Uning Wafer-Scale Engine qurilmasi CS-3 tizimi va OpenAI API bilan mos ish jarayonlarini qo‘llab-quvvatlaydigan Cerebras Inference Cloud xizmatiga quvvat beradi; bu yechimlar mahalliy infratuzilma, bulut va chekka muhitlarda joylashtirishni qo‘llab-quvvatlaydi. Kompaniya platformasi modellarni taqdim etish, nozik sozlash, dastlabki o‘qitish, real vaqt rejimidagi AI agentlari, genomika, dori vositalarini kashf etish, kiberxavfsizlik va korporativ qidiruv kabi ilovalar uchun mo‘ljallangan. Cerebras murakkab sun’iy intellekt ish yuklamalarini yaratadigan va ishlatadigan tashkilotlar uchun maxsus chiplar, tizimlar va dasturiy ta’minotni birlashtiradi; kompaniyada 501–1 000 nafar xodim ishlaydi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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

O‘xshash ish o‘rinlari

Equinix

Senior Director of AI

Equinix

Lead the development of production generative AI and machine learning systems for Equinix’s digital infrastructure business. Apply AI to sales and customer success, with goals that include pipeline growth, stronger retention, and improved deal velocity.

Ochish
Digital Realty

Senior Manager, Applied AI at Digital Realty (Hybrid)

Digital Realty
1 001 – 5 000 Xodimlar
Malakali ishchi vizasi homiysi

Connect Digital Realty’s business functions with data, AI, analytics, and automation solutions. Guide enterprise initiatives from discovery to delivery, with a focus on measurable business results.

Ochish
PwC

PwC AI Automation Associate, Health Services

PwC

At PwC, support health services clients by building AI-enabled automation, data pipelines, and reporting solutions. Use analytics and cognitive workflows to help improve business processes.

Ochish
Cooley LLP

Associate Director of Technology Collaboration and AI Services

Cooley LLP

Lead enterprise AI, Microsoft 365, and collaboration services at Cooley, a global law firm. Oversee governance, automation, adoption, and digital workplace transformation.

Ochish