Senior Machine Learning Engineer

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.

A Little About Us:

We are building a team with expertise in machine learning engineering, machine learning modeling and data engineering to enable us to deliver an end-to-end Data Quality & Observability solution. We encourage you to apply if you have expertise in these domains and you are excited to work as a “full-stack” ML engineer.

Yahoo brands comprise some of the premier destinations on the Internet. The Consumer Revenue Data Platform is the central source for trusted, unified consumer revenue data. We are responsible for delivering fast, clean, and relevant data that powers Yahoo’s consumer revenue reporting. Our products empower all consumer business teams to make informed decisions, drive meaningful business value, and manage risk with confidence.

Responsibilities

• Understand the technical challenges of a Data Quality product. Think and formulate problems from first principles and map them to one or more Machine Learning paradigms.

• Utilizing strong communication skills, iteratively discuss technical ideas cross-functionally.

• Define technical requirements, which involves but is not limited to, data collection, evaluation mechanism and production serving strategy.

• Based on product requirements, design and implement ML-based solutions and systems that can scale and evolve over time.

• Analyze data and identify patterns to inform further development.

• Produce technical reports and documentation targeted to both technical and non-technical audiences.

• Mentor and train engineers and peers within the team.

• Stay updated on industry trends and advancements in technology such as large language and vision models, and generative AI.    

Qualifications:

• 4+ years of track record driving impact in the industry

• Master’s degree in Computer Science, Electrical Engineering, Statistics,

• Applied Math or related discipline; or, equivalent experience

• Expertise in AI, machine learning, deep learning and natural language processing

Required Skills:

                     
MLOps / DevOps                             

• Experience designing, building, and managing scalable infrastructure for training and deploying ML models.

• Can build continuous integration and continuous deployment (CI/CD) pipelines to automate the testing, validation, and deployment of ML models.

• Strong working knowledge of Google Cloud observability tools to monitor system performance, logs, and metrics.

ML Modeling

• Ability to formalize a problem, run reproducible offline experiments and analyze the results.

• Experience working with modern ML frameworks (e.g. PyTorch, TensorFlow, Jax).

• Strong written communication and data visualization skills (Looker Core, Looker Studio). 

• Understanding of the difference between “research” code and production code, and when each is appropriate.

• Strong knowledge of anomaly detection algorithms.

Data Engineering

• Working knowledge of data engineering best practices & data warehousing concepts.

• Familiarity with software engineering principles, design patterns, and code quality practices.

• Previous working experience in Python and Java, Scala.

• Strong Knowledge of GCP 

• Experience of working with large scale databases like Bigquery

• Experience in Data analysis, data investigation and implementing data quality.

• Knowledge of workflow/schedulers like Airflow.

#LI-AC1

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; 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.

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