5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Senior Staff / Staff Machine Learning Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Staff / Staff Machine Learning Engineer (AI): Building foundational language and vision models, GenAI agent systems, and end-to-end AI pipelines for complex eCommerce scenarios with an accent on LLM post-training, deployment, and multimodal machine learning. Focus on designing experiments, training and serving foundation models, analyzing large-scale data, and ensuring secure and compliant model development.
Location: Singapore, Singapore
Company
is a large global public commerce company developing shopping, eating, and lifestyle services, with a startup-oriented culture.
What you will do
- Develop GenAI and AI-agent systems for complex eCommerce scenarios.
- Build large language, vision, predictive, and compound AI models.
- Train foundational models and define end-to-end experiments and learning processes.
- Build pipelines for storing and serving foundational models.
- Mentor team members on data lakes, data normalization, dimension reduction, visualization, and statistical modeling.
- Collaborate across teams to align knowledge capture and foundational models with the AI strategy while maintaining security and compliance.
Requirements
- 5+ years of data science experience building large-scale foundational models for eCommerce.
- Expertise in large language model post-training and deployment, with a deep understanding of AI, LLM, AIGC, and ML architecture.
- Strong statistical and mathematical background in defining metrics, learning functions, and analyzing results.
- Significant experience with SQL, Python, PySpark, Scala, R, PyTorch or TensorFlow, Spark, and BigQuery.
- Experience with cloud analytical stacks, data lakes, warehouses, ETL pipelines, and inference platforms in AWS, Azure, or open-source environments.
- Bachelorβs or masterβs degree in computer science, mathematics, or a related field, plus strong communication and teamwork skills.
Culture & Benefits
- Startup culture supported by the resources of a large global public company.
- Opportunities to drive new initiatives and develop high-impact AI services.
- Work focused on customer experience, innovation, and solving complex commerce problems.
Hiring process
- Application review, phone interview, onsite or virtual onsite interview, and offer.
- Interview scheduling and results are communicated by email.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
ΠΠΎΡ ΠΎΠΆΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
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