Home › Companies › Ifm Us › Research Scientist - Vision Language Model

Research Scientist - Vision Language Model

Ifm Us · Sunnyvale, CA · On Site · Active · $150,000–$450,000 / year · Lever

Job facts

Field	Value
Company	Ifm Us
Title	Research Scientist - Vision Language Model
Normalized title	-
Department / team	Research
Location	Sunnyvale, CA, United States
Work model	On Site
Employment type	Full Time
Salary	$150,000–$450,000 / year
Status	active
ATS provider	Lever
Posted / first seen	2026-05-29 / 2026-05-30
Changed / last seen	2026-05-30 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Ifm Us.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Lever.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Sunnyvale.	Open
Work model jobs	Active On Site postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Ifm Us
Source	4d111a77-38db-4b88-84a8-24f761a495a9
ATS provider	Lever

Description

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Professional Experience Minimum Experience working with large language models and/or vision-language models, including pre-training, fine-tuning, evaluation, or inference. Strong Python and PyTorch development skills for large-scale machine learning research. Experience with distributed training systems and large-scale model optimization. Familiarity with multimodal datasets and data processing pipelines involving images, text, and video. Understanding of modern deep learning architectures, including Transformers, attention mechanisms, and multimodal fusion techniques. Experience with ML infrastructure, including model evaluation, debugging, optimization, and large-scale experimentation. Problem-solving and research skills with the ability to independently drive research/engineering projects. Effective communication and collaboration skills for working across research and engineering teams. Preferred Skills Hands-on experience training or fine-tuning large Vision Language Models or multimodal foundation models at scale. Experience with distributed learning frameworks and infrastructure such as PyTorch Distributed, Megatron, Triton, or CUDA. Research experience in multimodal reasoning, agentic systems, tool use, OCR, grounding, document understanding, or multimodal retrieval. Experience with synthetic data generation, multimodal data curation, or automated evaluation frameworks for VLMs. Familiarity with efficient training and inference techniques such as FlashAttention, quantization, tensor parallelism, pipeline parallelism, or memory optimization. Experience contributing to open-source ML software and large-scale research codebases. Strong publication record in leading AI conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, or related venues. Experience collaborating across research, infrastructure, and product-oriented teams to deliver state-of-the-art multimodal systems. Position Summary As a Research Scientist in the Vision Language Model (VLM) team, your role will be central to advancing state-of-the-art multimodal foundation models that integrate visual understanding, reasoning, and agentic capabilities. You will work on the research and development of large-scale VLM systems, spanning model architectures, data recipes for pre-training and post-training, and evaluation benchmarks. The role combines cutting-edge research with practical engineering, emphasizing large-scale data processing, filtering, and weighting pipelines, distributed training systems, and reinforcement learning algorithms and systems for multimodal reasoning and agent development. Key Responsibilities Research and development of next-generation Vision Language Models across pre-training, instruction tuning, reasoning, and agents. Develop novel architectures and training methodologies for integrating visual understanding, language reasoning, and tool-use capabilities. Research efficient multimodal learning techniques, including data-efficient training, long-context modeling, model modularity, and inference optimization. Build and improve large-scale multimodal datasets, synthetic data generation pipelines, and evaluation benchmarks for VLM capabilities. Investigate multimodal reasoning, agentic behavior, OCR, grounding, document understanding, chart understanding, and visual question answering capabilities. Contribute to technical reports, research publications, and open-source software. Represent MBZUAI at research conferences and industry events, showcasing advancements in multimodal foundation models and large-scale AI systems. Mentor junior researchers and collaborate across teams to drive impactful research initiatives. Academic Qualifications PhD or equivalent research experience in Machine Learning, Computer Vision, Natural Language Processing, or Multimodal AI.

Full job record

Job ID	aacb011fb1838bc7b23f739d35095f69f63a9821
Org ID	bb7fb7ce-62b9-4ed3-9327-02a3c7b7e5d0
Source ID	4d111a77-38db-4b88-84a8-24f761a495a9
Board ID	4d111a77-38db-4b88-84a8-24f761a495a9
Provider	lever
Provider Job Key	1f5c0611-5364-4155-91f8-6884e6757385
Title	Research Scientist - Vision Language Model
Normalized Title	—
Status	active
Active	yes
Location Text	Sunnyvale, CA
Department	—
Team	Research
Employment Type	Full-time
Workplace Type	on_site
Remote Policy	—
Country	United States
Region	CA
City	Sunnyvale
Salary Raw	USD 150000-450000 per-year-salary
Salary Min	150,000
Salary Max	450,000
Salary Currency	USD
Salary Period	year
Source URL	https://jobs.lever.co/ifm-us/1f5c0611-5364-4155-91f8-6884e6757385
Apply URL	https://jobs.lever.co/ifm-us/1f5c0611-5364-4155-91f8-6884e6757385/apply
First Seen At	2026-05-30 07:35:36Z
Last Seen At	2026-06-06 20:14:05Z
Last Checked At	2026-06-06 20:14:05Z
Last Changed At	2026-05-30 07:35:36Z
Inactive At	—
Source Posted At	2026-05-29 22:25:33Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=ifm-us/date=2026-06-06/2026-06-06T20-14-04-180Z-dba991fe17ae8dd61e2db3cfb8af8d8d910a473e10cffaf0af12daa6be784167.json

Event Fields

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Parsed Structured

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Extensions

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Native Structured

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