Xgboost Developer Jobs

1 job found

1d ago

Machine Learning Engineer, Growth

Whatnot Los Angeles, CA 🇺🇸 Remote

Los Angeles, CA

1d ago

$190k - $280k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

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Job Description

Whatnot offers a flexible, benefits-rich environment designed to accelerate growth, with a strong emphasis on product excellence and a collaborative culture. Based in Los Angeles with remote options, Whatnot is the largest live shopping platform in North America and Europe for buying, selling, and discovering a wide range of goods. Our distributed team operates across hubs in the United States, United Kingdom, Ireland, Poland, Germany, and Australia, moving quickly while staying closely connected to our users.

Benefits

Flexible time off policy and company-wide holidays, including spring and winter breaks
Comprehensive health coverage (medical, dental, and vision)
Support for remote work, plus a home office setup allowance
Monthly stipends for cell phone and internet
Care benefits and a monthly wellness allowance
Annual childcare allowance
Lifetime support for family planning, including adoption and fertility expenses
Retirement options with a 401(k) for the US (Traditional and Roth), employer match up to 4%; international pension plans
Monthly budget to dogfood the app, reinforcing product understanding
Parental leave of 16 weeks paid, plus a one-month gradual return to work (country requirements take precedence)
Equal opportunity employer focused on diversity and inclusive growth
All Whatnauts are encouraged to use Whatnot as buyers and sellers to deepen product insight

Responsibilities

Lead the design, development, and deployment of ML models that drive user acquisition, activation, and retention, including ranking, targeting, and uplift modeling
Own the full ML lifecycle: data pipelines, feature engineering, model training, deployment, and online experimentation; build feedback loops from postbacks, conversions, and downstream revenue signals
Identify high-impact growth opportunities and partner with product, engineering, data, and marketing to shape the roadmap
Promote technical excellence and establish ML best practices within the Buyer Growth team

Technologies

Python
SQL
PyTorch
TensorFlow
XGBoost

Requirements

5+ years building and deploying ML systems at scale
Proven track record of leading end-to-end ML projects with measurable business impact
Deep expertise in personalization, ranking, or user modeling, with strong intuition about consumer behavior
Advanced proficiency in Python, SQL, and common ML frameworks (PyTorch, TensorFlow, XGBoost)
Strong communication and leadership skills, with the ability to influence roadmaps and align cross-functional teams

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