Aleph Alpha
Aleph Alpha
51 – 200 Xodimlar
B2BSun’iy intellekt
Aleph Alpha — til, tasviriy ma’lumotlar va strategik fikrlash uchun yirik ko‘lamli modellar ishlab chiquvchi sun’iy intellekt tadqiqotlari va amaliy yechimlar kompaniyasi. Germaniyaning Heidelberg shahrida joylashgan kompaniya Yevropaning raqamli suverenitetini qo‘llab-quvvatlagan holda, ilg‘or sun’iy intellekt tadqiqotlarini amaliy tizimlarga aylantirishga e’tibor qaratadi. Uning faoliyati B2B texnologiyalar sektoridagi biznes va tashkilotlarning foydalanish holatlariga xizmat qiladi.

Senior AI Researcher, Foundation Model Pre-Training — Aleph Alpha, Heidelberg

Lead architecture and large-scale pre-training work for Aleph Alpha’s European foundation models, shaping training methods across thousands of GPUs. Build and refine PyTorch training recipes with the Heidelberg-based hybrid team.

Tavsif

  • Develop architectures and training methods for Aleph Alpha’s next generation of foundation models.
  • Lead core training recipe components, including optimizers, schedules, and initialization.
  • Create PyTorch architecture improvements that strengthen convergence, stability, and training efficiency.
  • Establish hyperparameter scaling laws and methods for scaling training runs.
  • Run small proxy experiments to forecast behavior across thousands of GPUs and reduce training risk.
  • Diagnose convergence problems, including loss spikes and divergence.
  • Troubleshoot distributed training failures such as communication bottlenecks, race conditions, and synchronization errors.
  • Work with Compute Performance, Data, Evaluation, and Post-Training teams on system and model co-design.
  • Turn mathematical analysis and experimental evidence into sound training decisions.
  • Deliver production-quality code that improves model quality, run reliability, and efficiency.

Talablar

  • Proficiency in Python and strong familiarity with PyTorch training workflows.
  • A proven record in machine learning research and software engineering, shown through shipped models, influential open-source work, or published research.
  • Strong mathematical grounding and ability to reason formally about optimization, scaling behavior, and training dynamics.
  • In-depth knowledge of transformer training dynamics, optimization, and large distributed training runs.
  • Ability to design rigorous experiments and use their findings to guide robust training decisions.
  • Practical experience pre-training large models, such as models with 7B or more parameters, on substantial infrastructure, such as clusters of 100 or more GPUs.
  • Sound software engineering practices, including maintainable, well-tested code and reproducible experiments.
  • Ability to implement complex architectures efficiently and reliably, and debug model code, training behavior, and distributed systems.
  • Clear communication and effective cross-team collaboration.
  • Eligibility to work in Germany and availability for regular on-site collaboration in Heidelberg.
  • Preferred: experience training LLMs or multimodal models on large GPU clusters with distributed frameworks such as Megatron-LM, DeepSpeed, or torchtitan.
  • Preferred: familiarity with scaling laws, hyperparameter transfer, or forecasting large-scale training behavior from proxy runs.
  • Preferred: experience profiling distributed jobs and diagnosing training anomalies.
  • Preferred: exposure to sparse training methods such as Mixture-of-Experts.
  • Preferred: top-tier publications, influential open-source contributions, or significant shipped technical work.

Imtiyozlar

  • 30 days of paid annual leave.
  • Access to fitness and wellness offerings through Wellhub.
  • Mental health support via nilo.health.
  • Substantially subsidized company pension plan.
  • Subsidized nationwide transportation ticket in Germany.
  • Budget for additional technical equipment.
  • Flexible working hours.
  • Hybrid work arrangement.
  • JobRad® bicycle leasing.

O‘xshash ish o‘rinlari

Hewlett Packard Enterprise

Senior Channel Presales Technical Architect, Canada

Hewlett Packard Enterprise

Guide channel partners in designing and selling HPE storage and data protection solutions. Build technical advocacy, grow the opportunity pipeline, and support customer engagements.

Ochish
Hewlett Packard Enterprise

Senior Channel Presales Technical Architect, Storage — HPE Canada Remote

Hewlett Packard Enterprise

Help HPE channel partners position, design, and sell storage and data protection solutions. Support solution architecture, demonstrations, proofs of concept, pipeline development, and partner technical advocacy.

Ochish
Hewlett Packard Enterprise

Channel Presales Technical Architect, Canada

Hewlett Packard Enterprise

Guide HPE channel partners in positioning, designing, and delivering storage and data protection solutions. Build partner technical capability, develop pipeline, and help secure competitive wins.

Ochish
Hewlett Packard Enterprise

Senior Network Operations Cloud Engineer (Secret Clearance)

Hewlett Packard Enterprise

Operate HPE’s secure private cloud and datacenter networks supporting federal customers. Troubleshoot classified infrastructure and VMware NSX across Oklahoma, Pennsylvania, and Utah.

Ochish
General Dynamics Information Technology

Senior Azure Cloud Data Engineer

General Dynamics Information Technology

Modernize Indian Health Service clinical records by building Azure data pipelines and scalable healthcare data models. Develop ETL workflows and PySpark transformations for enterprise health data.

Ochish
Hewlett Packard Enterprise

Senior Network Operations Cloud Engineer (Secret Clearance)

Hewlett Packard Enterprise

Operate and secure Hewlett Packard Enterprise private-cloud networks supporting federal customers. Troubleshoot classified infrastructure, VMware NSX, ServiceNow changes, and mission-critical connectivity.

Ochish
Taste Labs

Talent Associate at Taste Labs, San Francisco (Hybrid)

Taste Labs

Source and coordinate hiring for engineers, researchers, designers, and operators at Taste Labs, an AI infrastructure startup. Partner with the Talent & People Operations Lead to improve recruiting processes and candidate experience.

Ochish