Higgsfield AI
Almaty / Office
Толық жұмыс күні
ML
Higgsfield AI — Senior ML / AI Engineer – Video Generation (Cursor for Video)
Вакансияның мерзімі аяқталды
Жарияланғанына 90 күннен асты немесе жұмыс беруші көрсеткен мерзім аяқталды. Өтінімдер енді қабылданбайды.
Өтінімдер: 019
Senior ML / AI Engineer – Video Generation (Cursor for Video)
Higgsfield AI
Competitive salary in USD + Stock Options
Almaty / Office
Higgsfield AI is the fastest-growing GenAI video platform
Responsibilities:
• Build RAG-based and multi-agent systems for retrieval, reasoning, and decision-making
• Own data pipelines: ingestion, cleaning, deduplication, and filtering
• Define and monitor key quality metrics for relevance, accuracy, and output reliability
• Drive the end-to-end ML lifecycle
• Work with multimodal models (text, video, audio) and temporal coherence
Requirements:
• Proven track record of training and deploying ML models into production (experience with large-scale vision, diffusion models, NLP, or multimodal systems is a big plus)
• Python, ML frameworks (PyTorch)
• Experience deploying ML systems into production environments
• Solid understanding of model evaluation, tradeoffs, and performance constraints
Optional:
• Distributed training, multi-GPU systems experience
apply here
Higgsfield AI
Competitive salary in USD + Stock Options
Almaty / Office
Higgsfield AI is the fastest-growing GenAI video platform
Responsibilities:
• Build RAG-based and multi-agent systems for retrieval, reasoning, and decision-making
• Own data pipelines: ingestion, cleaning, deduplication, and filtering
• Define and monitor key quality metrics for relevance, accuracy, and output reliability
• Drive the end-to-end ML lifecycle
• Work with multimodal models (text, video, audio) and temporal coherence
Requirements:
• Proven track record of training and deploying ML models into production (experience with large-scale vision, diffusion models, NLP, or multimodal systems is a big plus)
• Python, ML frameworks (PyTorch)
• Experience deploying ML systems into production environments
• Solid understanding of model evaluation, tradeoffs, and performance constraints
Optional:
• Distributed training, multi-GPU systems experience
apply here
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