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HomeCompaniesIfm UsData Engineer

Data Engineer

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

Job facts

FieldValue
CompanyIfm Us
TitleData Engineer
Normalized title-
Department / teamEngineering
LocationSunnyvale, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$150,000–$450,000 / year
Statusactive
ATS providerLever
Posted / first seen2025-04-09 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

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 Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies. 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 Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines. Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes. Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking. Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams. Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria. Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively. Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards. Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure. Academic Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred. Professional Experience - Required Extensive experience in data engineering, data processing, and automation using Python. Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines. Strong understanding of data structures, algorithms, databases, SQL, and performance optimization. Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes). Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges. Strong communication and collaboration skills with cross-functional teams. Professional Experience - Preferred Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery. Experience working with large language models, including evaluation, efficient inference, and prompt engineering. Experience with refining outputs from large-scale AI models, such as LLM-generated data. Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow). Familiarity with the latest advancements in NLP data processing and large language model technologies.

Full job record

Job ID81712834e4d68d42d604648704f7c8840ed72f00
Org IDbb7fb7ce-62b9-4ed3-9327-02a3c7b7e5d0
Source ID4d111a77-38db-4b88-84a8-24f761a495a9
Board ID4d111a77-38db-4b88-84a8-24f761a495a9
Providerlever
Provider Job Key09018f47-2206-46bf-8b9c-07b24d4b5fa8
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextSunnyvale, CA
Department
TeamEngineering
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/09018f47-2206-46bf-8b9c-07b24d4b5fa8
Apply URLhttps://jobs.lever.co/ifm-us/09018f47-2206-46bf-8b9c-07b24d4b5fa8/apply
First Seen At2026-05-29 06:59:53Z
Last Seen At2026-06-06 20:14:05Z
Last Checked At2026-06-06 20:14:05Z
Last Changed At2026-05-29 06:59:53Z
Inactive At
Source Posted At2025-04-09 18:10:06Z
Source Updated At
Raw Payload Uris3://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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  "last_changed_at": "2026-05-29T06:59:53.148Z",
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}
Parsed Structured
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Extensions
{}
Native Structured
{
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    {
      "text": "Key Responsibilities",
      "content": "\n<li>Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines.</li>\n<li>Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes.</li>\n<li>Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking.</li>\n<li>Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams.</li>\n<li>Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria.</li>\n<li>Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively.</li>\n<li>Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards.</li>\n<li>Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.</li>\n"
    },
    {
      "text": "Academic Qualifications",
      "content": "\n<li>Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required</li>\n<li>Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.</li>\n"
    },
    {
      "text": "Professional Experience - Required  ",
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    {
      "text": "Professional Experience - Preferred  ",
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    }
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  "country": "US",
  "createdAt": 1744222206141,
  "updatedAt": null,
  "categories": {
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    "location": "Sunnyvale, CA",
    "commitment": "Full-time",
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    "currency": "USD",
    "interval": "per-year-salary"
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