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Applied Scientists — Machine Learning (MSc. or PhD)

✓ Türkiye'ye açıkAI / MLYayın: 24 Ekim 2026
Özet (otomatik)
micro1, bir yapay zeka eğitim projesi için makine öğrenmesi uzmanları arıyor. Rol, ML modelleri, eğitim ve çıkarım sistemleri geliştirip doğrulamayı içeriyor ve Python ağırlıklı. Haftada yaklaşık 15 saat sözleşmeli çalışma, saatlik 60–120 dolar, esnek saatler; ödeme görev başınadır.
Bu ilana nasıl başvurulur?AI destekli öneri · orijinal ilan esastır
CV anahtar kelimeleri (ilandan)
Machine LearningPythonAgentsData PipelinesPerformance OptimizationWorkflows
İlan metni kısa; yalnızca ilanda geçen terimler listelendi.
Şirketin öncelikleri
  • AI/LLM ve veri odaklı çalışmaApplied Scientists — Machine Learning (MSc. or PhD) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule:…
  • Ölçek, performans ve güvenilirlik…training and inference systems, numerical computing, performance optimization, and…
Muhtemel mülakat konuları
  • ML/LLM vaka çalışması: Machine Learning seçimi, değerlendirme (eval) ve canlıya alma
  • Davranışsal: “AI/LLM ve veri odaklı çalışma” konusunda STAR formatında 1–2 örnek
🇹🇷 Türkiye notu
  • İlanda “Contractor” geçiyor: Türkiye'den genellikle şahıs şirketiyle fatura kesilir; şartlar sağlanırsa yazılım hizmet ihracatında %100 kazanç indirimi (GVK 89/1-13) uygulanabilir. Hizmet ihracatı rehberi →
Konumlandırma: CV'nin ilk satırında Machine Learning, Python, Agents deneyimini öne çıkar, bunu AI/LLM ve veri projelerinle destekle; başlığa “Based in Türkiye (UTC+3) · open to contractor/EOR” ekle.

Bu öneriler ilan metninden kural tabanlı olarak çıkarıldı; tırnak içindekiler ilandan alıntıdır. Şirket hakkında ilanda yazmayan bilgi eklenmez. Başvurmadan önce orijinal ilanı oku.

İlan metni (orijinal, İngilizce)

Applied Scientists — Machine Learning (MSc. or PhD) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow. What You’ll Work On Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. Implement model components, data pipelines, evaluation systems, and numerical methods. Build reproducible programmatic workflows using Python and command-line tools. Required Qualifications A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning. Practical proficiency with Python and coding agents. Equivalent tools may also be considered when the candidate demonstrates directly relevant depth. Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding. Originally posted on Himalayas

Özet, ilan metnindeki bilgilerden yapay zekâ yardımıyla Türkçe hazırlanmıştır; bağlayıcı olan orijinal ilandır.