Whatnot

Whatnot

Machine Learning Engineer, Growth

San Francisco, CA · Senior

Sponsorship not specifiedDetected 176 days ago
PythonSpringSQLMachine LearningTensorFlowPyTorchData EngineeringLeadershipCommunication

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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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 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 83%

Of 6 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 508 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

25 transfer filings in the last year, covering 25 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.

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About the role

  • 🚀 Join the Future of Commerce with Whatnot!
  • We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes.
  • This is a high-impact role on a team directly responsible for growing Whatnot's buyer base and improving first-time user conversion.

Responsibilities

  • Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention (e.g., ranking models, targeting systems, uplift modeling).
  • Own the full ML lifecycle. Build and own data pipelines, feature engineering, model training, deployment, and online experimentation. Build feedback loops from postbacks, conversions, and downstream revenue signals.
  • Drive technical excellence and establish ML best practices across the Buyer Growth team.
  • 5+ years of industry experience building and deploying ML systems at scale.
  • Experience building ML applications in E-commerce or Social products
  • Work From Home Support
  • All Whatnauts are expected to develop a deep understanding of our product.
  • We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).

Requirements

  • Advanced proficiency in Python, SQL, and common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost).

Nice to have

  • Prior experience in growth domains: user segmentation, retention modeling, large scale recommendation systems, notification ranking, etc.
  • Monthly allowance for cell phone and internet
  • Monthly allowance to dogfood the app
  • Whatnot is proud to be an Equal Opportunity Employer.

Compensation

  • Annual allowance towards Childcare
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally

Benefits

  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Home office setup allowance
  • Monthly allowance for wellness
  • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Parental Leave
  • Identify and prioritize high-impact opportunities where machine learning can unlock growth, collaborating with product, engineering, data, and marketing stakeholders.

Company info

  • As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia.
  • We're looking for a Machine Learning Engineer to accelerate buyer growth at Whatnot through intelligent, data-driven experiences.
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This listing is sourced directly from Whatnot's careers page and normalized into a canonical job model.