Match · 7 hours ago
Staff Software Engineer, Machine Learning
Palo Alto, California
Full-time
Hybrid
Lead/Staff
$265K/yr - $280K/yr
8+ years expMatch Group is the company behind Tinder, which has revolutionized how people connect globally. They are seeking a highly motivated Staff Software Engineer specializing in Machine Learning to lead cross-cutting initiatives, enhance user experiences, and drive technical direction across multiple domains.
Information TechnologyInternetSocialSoftware
Responsibilities
Lead and execute cross-cutting machine learning initiatives that span multiple ML domains, especially where ownership is unclear or problems cut across teams
Partner closely with the Director of Engineering to identify the opportunities and set the technical direction of ML team
Step into complex or struggling projects, diagnose issues quickly, and help bring them back on track through hands-on technical leadership and execution
Embed with individual pods as needed to provide deep technical support, unblock delivery, and raise the quality bar for ML systems and implementations
Act as a strategic thought partner to engineering managers, helping shape technical strategy and identify gaps, risks, and opportunities across ML platforms and systems
Collaborate with domain tech leads as a cross-domain advisor, aligning architectures, data pipelines, and modeling approaches across teams
Influence technical direction and best practices across the ML organization through design reviews, code reviews, and architectural guidance
Mentor senior engineers and help develop technical leadership across the team, without direct people management responsibility
Qualification
Required
BS/MS in Computer Science or an equivalent field with 8+ years of experience designing, building, and shipping production machine learning systems at scale
At least two peer-reviewed publications in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, WWW, ACL, CVPR, or equivalent), demonstrating strong ML fundamentals and technical depth
Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences
Professional work experience in Recommendation Systems or Causal Inference (Revenue or Growth)
Strong hands-on engineering skills, with the ability to write, review, and debug production-quality code and ML pipelines
Proven track record as a senior individual contributor (Staff or Principal level) of translating complex, ambiguous business problems into Machine Learning problems
Deep understanding of end-to-end ML systems, including data pipelines, modeling, evaluation, deployment, and monitoring
Experience of partnering closely with engineering managers and senior stakeholders to lead cross-team initiatives, shape technical direction and execution
Hands-on experience with the following (or equivalent/similar) tools in production environments: Kubernetes, Triton Inference Server, Ray Serve, Airflow, Flink, or Spark (Databricks)
Company
Match
Life at Match is an internet company that offers revolutionary technology services.
1001-5000 employees
H1B Sponsorship
Match has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (11)
Funding
Current Stage
Late StageLeadership Team
M
Margaret Ochoa
SVP, Online Marketing
Recent News
2025-11-11
The Express Tribune
2025-06-30
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