Airbnb

Airbnb

Data Scientist - Algorithms, Community Support

Remote - USA · Mid

Sponsorship not specified$151k-$175kDetected 14 days ago
PythonAlgorithmsSQLMachine LearningData ScienceLLMsLLMOpsProject ManagementCustomer SupportCommunicationCollaboration

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 6 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 80%

Of 5 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 452 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

79 transfer filings in the last year, covering 79 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.
  • Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
  • Your Location: This position is US - Remote Eligible.

Responsibilities

  • Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality.
  • Build LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement.
  • Build personalization models to offer differentiated experiences and maximize business impact.
  • Ability to translate complex findings and results into compelling narratives that drive impact.
  • A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience.

Requirements

  • 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty) and a Master's degree or PhD in relevant fields.

Compensation

  • $151,000 - $175,000 USD
  • We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process.

Company info

  • We strive to also provide a disability inclusive application and interview process.
  • Pay Range $151,000 - $175,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities.

Equal opportunity

  • Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
  • All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.
  • How We'll Take Care of You:
  • Our job titles may span more than one career level.

This listing is sourced directly from Airbnb's careers page and normalized into a canonical job model.