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Yahoo

Sr Mgr, Software Dev Engineering, ML Foundations

Posted 11 Days Ago
Be an Early Applicant
United States of America
144K-299K Annually
Senior level
United States of America
144K-299K Annually
Senior level
Lead and mentor a team of engineers and data scientists, define the technical strategy for content discovery, and enhance personalization through ML techniques.
The summary above was generated by AI

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

About the RoleWe are looking for an Engineering Manager to lead our Content Recommendation & Enrichment team, specializing in content classification, entity extraction, and personalized recommendation solutions. In this role, you will drive the development of intelligent content discovery and enrichment pipelines that enhance user engagement and optimize content delivery.

You will be responsible for leading a team of engineers and ML practitioners, collaborating with cross-functional teams, and defining the technical strategy to improve content understanding, personalization, and metadata enrichment at scale.

Key Responsibilities

  • Lead & Mentor: Manage and mentor a team of engineers and data scientists, fostering a high-performance, innovative culture.

  • Strategy & Roadmap: Define the technical vision and roadmap for content classification, entity extraction, and recommendation systems aligned with business objectives.

  • Architecture & Scalability: Oversee the design and implementation of scalable machine learning models and algorithms to enhance content discovery.

  • Collaboration: Work closely with Product, Data Science, ML, and Content teams to develop solutions that improve content enrichment, metadata quality, and personalization.

  • Operational Excellence: Ensure high system reliability, performance, and efficiency in processing large-scale content datasets.

  • Innovation & Experimentation: Drive research and prototyping of NLP, deep learning, and knowledge graph-based techniques for content enrichment and personalization.

  • Stakeholder Communication: Clearly communicate technical concepts and project progress to both technical and non-technical stakeholders.

Required Skills & Experience

  • 8+ years of software engineering experience, with at least 3+ years in a leadership or management role.

  • Strong expertise in machine learning, NLP, and recommender systems for content classification and personalization.

  • Proficiency in Python, Java, or Scala, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

  • Experience in working with large-scale datasets, distributed computing (Spark, Hadoop), and cloud platforms (AWS, GCP, or Azure).

  • Strong understanding of metadata extraction, named entity recognition (NER), and semantic search technologies.

  • Proven ability to scale and optimize ML models for production environments.

  • Experience in building and leading high-performing engineering teams.

  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

  • Experience with vector search technologies (e.g., Vespa.ai, SpannerDB, ElasticSearch etc) for content retrieval.

  • Hands-on experience with graph databases and knowledge graphs.

  • Background in content/media industries and understanding of editorial workflows.

#LI-AM3

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $143,625.00 - $299,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

Currently work for Yahoo? Please apply on our internal career site.

Top Skills

AWS
Azure
Elasticsearch
GCP
Graph Databases
Hadoop
Java
Python
PyTorch
Scala
Scikit-Learn
Spark
TensorFlow
Vector Search Technologies

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