Staff Machine Learning Engineer, Recommendations
ZipRecruiter · Remote, Santa Monica, CA
Posted 13 days ago · $205,000.00-$265,000.00
or apply directly on ZipRecruiter's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days ZipRecruiter's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 59% of ZipRecruiter's roles list one
- Ghost-job risk at ZipRecruiter
- high 28 stale, 2 reposted of 44 open
- Hiring momentum
- 56 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from ZipRecruiter's own greenhouse board since 2026-08-03. Full hiring picture for ZipRecruiter.
About this role
As a Staff Machine Learning Engineer at ZipRecruiter, you will be responsible for shaping the machine learning strategy and roadmap, particularly focusing on recommendation systems and matching algorithms. Your role involves architecting high-scale ML systems, mentoring other engineers, and driving the end-to-end model ownership process. You will tackle complex challenges in a two-sided marketplace environment, ensuring the delivery of high-performance, production-ready solutions.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of ZipRecruiter as an employer.
What you need
- 8+ years of professional experience developing and deploying machine learning models in large-scale production environments
- Proven track record of architecting and shipping end-to-end ML solutions that serve production traffic at scale
- Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or Interaction Prediction
- Strong software engineering fundamentals with hands-on expertise using modern deep learning frameworks (PyTorch, TensorFlow)
- Proven experience in technical leadership and mentorship, driving technical alignment across cross-functional engineering and product teams
- Strong background in statistical modeling, online experimentation (A/B testing methodology), and offline metric design
Nice to have
- Experience in Two-Sided Marketplaces: Familiarity with supply/demand liquidity, bilateral matching algorithms, dynamic pricing, or auction-based models
- Modern deep learning techniques for recommendations, such as Two-Tower Neural Networks, Graph Neural Networks (GNNs), Transformer-based retrieval models, or Contextual Bandits
- Advanced degree (MS/PhD) in Computer Science, Machine Learning or a related quantitative field or equivalent experience
- Experience with modern MLOps architectures and distributed training frameworks
What you get
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
Worth weighing
- Remote work flexibility is available, but specific exceptions may apply
- Salary range is provided, but individual pay is determined by various factors including location and experience
- The role involves high visibility and technical leadership, which may come with significant expectations
Summarised from ZipRecruiter's posting. Read the full original.
Listed by ZipRecruiter on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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