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HomeCompaniesIfm UsResearch Scientist - Computer Vision

Research Scientist - Computer Vision

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

Job facts

FieldValue
CompanyIfm Us
TitleResearch Scientist - Computer Vision
Normalized title-
Department / teamResearch
LocationSunnyvale, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$150,000–$450,000 / year
Statusdeleted
ATS providerLever
Posted / first seen2025-03-17 / 2026-05-29
Changed / last seen2026-06-04 / 2026-06-02

Related slices

PageWhat it containsOpen
Company jobsActive postings from Ifm Us.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Sunnyvale.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyIfm Us
Source4d111a77-38db-4b88-84a8-24f761a495a9
ATS providerLever

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. The Role As a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include *Comprehensive medical, dental, and vision benefits  *Bonus *401K Plan *Generous paid time off, sick leave and holidays *Paid Parental Leave *Employee Assistance Program *Life insurance and disability Key Responsibilities Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training. Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks. Integrate and improve Computer Vision algorithms to work with other models such as LLMs Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. Write up results in design documents, technical reports, and papers for publication. Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives. Academic Qualifications Minimum : Master’s in Computer Science, a related technical field, or equivalent practical experience. Preferred : PhD or equivalent research experience in Computer Vision Professional Experience - Minimum Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision). Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation. Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms. Excellent problem-solving and troubleshooting skills to address complex technical challenges. Effective communication and collaboration skills to work with cross functional teams. Ability to effectively navigate ambiguity. Professional Experience - Preferred Knowledge of modern deep learning techniques and Generative AI for photography Experience leading research efforts and influencing other researchers. Experience with efficiency, modularity or related topics for LLMs. Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile). Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).

Full job record

Job IDd8dca93cd91ae11e8b0a015d75e60280f3fd9a6d
Org IDbb7fb7ce-62b9-4ed3-9327-02a3c7b7e5d0
Source ID4d111a77-38db-4b88-84a8-24f761a495a9
Board ID4d111a77-38db-4b88-84a8-24f761a495a9
Providerlever
Provider Job Key7f9f3dac-b746-4092-9ca4-2d5dca9d60dc
TitleResearch Scientist - Computer Vision
Normalized Title
Statusdeleted
Activeno
Location TextSunnyvale, CA
Department
TeamResearch
Employment TypeFull-time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySunnyvale
Salary RawUSD 150000-450000 per-year-salary
Salary Min150,000
Salary Max450,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/ifm-us/7f9f3dac-b746-4092-9ca4-2d5dca9d60dc
Apply URLhttps://jobs.lever.co/ifm-us/7f9f3dac-b746-4092-9ca4-2d5dca9d60dc/apply
First Seen At2026-05-29 06:59:53Z
Last Seen At2026-06-02 10:41:24Z
Last Checked At2026-06-04 11:31:40Z
Last Changed At2026-06-04 11:31:40Z
Inactive At2026-06-04 11:31:40Z
Source Posted At2025-03-17 19:22:44Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=ifm-us/date=2026-06-02/2026-06-02T10-41-23-790Z-af9a7e8cb7a2a907f3c40becd7ef6b02158ef12a1e6c5a111a3ffc01c6668f11.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Key Responsibilities",
      "content": "\n<li>Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.</li>\n<li>Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks.</li>\n<li>Integrate and improve Computer Vision algorithms to work with other models such as LLMs</li>\n<li>Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology.</li>\n<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.</li>\n<li>Write up results in design documents, technical reports, and papers for publication.</li>\n<li>Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and&nbsp;deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.</li>\n<li>Perform all other duties as reasonably directed by the line manager that are commensurate with these&nbsp;functional objectives.</li>\n"
    },
    {
      "text": "Academic Qualifications",
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      "text": "Professional Experience - Minimum",
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    {
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  "country": "US",
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  "categories": {
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