TL;DR

Senior Staff Machine Learning Engineer (AI): Designing and training advanced ML models to enhance %hirify_global%'s ad ranking systems with an accent on improved model architectures, contextual embeddings, and conversion-optimized modeling. Focus on end-to-end model deployment, performance analysis, and shaping the long-term modeling vision.

Location: Remote - United States

Salary: $266,000 - $372,400 USD

Company

%hirify_global% is a community built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

What you will do

Design and train advanced ML models (e.g., DNNs, transformers) to power %hirify_global% Ads Ranking models.
Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
Own experimentation strategy: offline metrics, A/B design, readouts, and “next iteration” planning.
Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis.
Mentor other MLEs and contribute to modeling best practices across the org.
Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.).

Requirements

9+ years industry experience in ML Engineering / Applied ML.
Demonstrated impact: leading cross-team technical initiatives and influencing technical direction.
Strong fundamentals in ML systems end-to-end.
Excellent communication: can explain tradeoffs clearly to both technical and non-technical stakeholders.
Proven track record shipping DNN-based ranking/recs/ML models to production with measurable impact.
Strong understanding of loss/labeling, sampling, calibration, bias/variance, train/serve skew, and online experimentation.
Comfortable mentoring other engineers and raising modeling quality through reviews and technical guidance.

Culture & Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave