Senior Multimodal AI Research Scientist

Mecka; New York (NY); In loco; USD 140.000 - 230.000; Tempo pieno

Descrizione del lavoro

Mecka AI in New York seeks an experienced Research Scientist to advance large-scale vision-language and multimodal foundation models. You will work on model training, post-training, reinforcement learning, and multimodal reasoning, translating research breakthroughs into real-world capabilities.

You will collaborate across data, training strategies, evaluation, and optimization, exploring emerging approaches in multimodal learning, model alignment, and scalable experiments with distributed

Competenze

• Hands-on experience researching, training, fine-tuning, or post-training large-scale foundation models, particularly vision-language or multimodal models.
• Strong understanding of deep learning architectures, optimization techniques, and modern model training methodologies.
• Experience with supervised fine-tuning (SFT), preference optimization, or reinforcement learning approaches such as PPO, RLHF, or related.
• Proficiency in Python and PyTorch, with exposure to JAX or similar frameworks.
• Experience designing, executing, and analyzing large-scale ML experiments.
• Familiarity with distributed training systems and GPU-based model development.

Mansioni

• Multimodal Model Research: Research, develop, and improve vision-language models and multimodal foundation-model architectures.
• Post-Training & Reinforcement Learning: Design and implement advanced training strategies to improve model capabilities.
• Model Performance & Optimization: Investigate approaches to improve reasoning, generalization, reliability, and training efficiency.
• Data Quality & Training: Develop strategies for data curation, filtering, and synthetic data generation to improve training outcomes.
• Evaluation & Benchmarking: Design experiments and benchmarks to measure model performance and guide research priorities.
• Large-Scale Experimentation: Work with distributed training infrastructure and large-scale datasets.

Conoscenze

Vision-Language

Multimodal Models

Deep Learning

Python

PyTorch

JAX

RLHF

SFT

RL Algorithms

Strumenti

Python

PyTorch

JAX

Descrizione del lavoro

Mecka AI in New York seeks an experienced Research Scientist to advance large-scale vision-language and multimodal foundation models. You will work on model training, post-training, reinforcement learning, and multimodal reasoning, translating research breakthroughs into real-world capabilities.

You will collaborate across data, training strategies, evaluation, and optimization, exploring emerging approaches in multimodal learning, model alignment, and scalable experiments with distributed