Staff Machine Learning Engineer
ZipRecruiter2 months ago
Base Salary
$205k - $265k/yr
Responsibilities
- Define and execute the technical vision and multi-year ML roadmap for recommendation, matching, and entity representation capabilities.
- Architect and own large-scale ML systems for interaction prediction, candidate ranking, and candidate/job retrieval in high-throughput production environments.
- Solve two-sided marketplace problems including intent prediction, bilateral relevance, cold starts, and feedback loops.
- Own models end to end from exploration and feature engineering through distributed training, offline and online evaluation, and real-time latency optimization.
- Mentor Machine Learning Engineers and Data Scientists and establish organization-wide best practices for building, deploying, and evaluating ML models.
- Partner with engineering and product leadership to drive technical alignment and production delivery.
Requirements
- At least 8 years of professional experience developing and deploying machine learning models in large-scale production environments.
- Proven experience architecting and shipping end-to-end ML solutions that serve production traffic at scale.
- Deep expertise in recommendation systems, personalization, ranking and retrieval, or interaction prediction.
- Strong software engineering fundamentals and hands-on expertise with PyTorch and TensorFlow.
- Proven technical leadership and mentorship experience across cross-functional engineering and product teams.
- Strong background in statistical modeling, online experimentation, and offline metric design.
- Preferred experience with two-sided marketplaces, supply and demand liquidity, bilateral matching, dynamic pricing, or auction-based models.
- Preferred experience with Two-Tower Neural Networks, Graph Neural Networks, Transformer-based retrieval models, or Contextual Bandits.
- An advanced degree in Computer Science, Machine Learning, or a related quantitative field, or equivalent experience, is preferred.
- Preferred experience with modern MLOps architectures and distributed training frameworks.
Benefits
- Hybrid work environment with most US-based positions eligible for remote work; the role is listed as remote.
- Competitive compensation and an exceptional benefits package.
- Flexible vacation and paid time off.
- Employer-matched 401(k) plan.
- Additional medical, financial, and other benefits may be provided.
Tech Stack
PyTorchTensorFlow
Categories
About ZipRecruiter
ZipRecruiter builds an online employment marketplace used by businesses to advertise jobs and by job seekers to find and apply, powered by AI-based matching. The company sells recruiting and job advertising tools to employers through subscriptions and performance-based options, with free tools for candidates. Founded in 2010 and headquartered in Santa Monica, California, ZipRecruiter is a public company listed on the NYSE (ticker: ZIP).