Senior Software Engineer, Ads Relevance, ML Inference Platform

AECOM; Mountain View (CA); On-site; USD 166,000 - 244,000; Full time

Job summary

AECOM seeks a Software Engineer for their Privacy Sandbox initiative, focusing on developing privacy-safe platforms for machine learning in the advertising sector. This role involves significant software development experience in various programming languages and data structures, coupled with leadership potential, aiming to shape innovative digital solutions that prioritize user privacy.

Benefits

Equity options

Comprehensive benefits package

Qualifications

• 5 years of software development experience.
• Experience in a technical leadership role.
• 3 years building large-scale infrastructure or distributed systems.

Responsibilities

• Design and launch privacy preserving Ads APIs.
• Develop privacy-safe platform for ML models.
• Write and test product or system development code.

Skills

Software Development

Data Structures

Algorithms

Machine Learning

Cloud Computing

Education

Bachelor's degree

Master's degree or PhD

Tools

TensorFlow

PyTorch

Onnx

Google Cloud Platform

Job description

Minimum qualifications:

+ Bachelor’s degree or equivalent practical experience.

+ 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.

+ 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

+ 3 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

+ Experience with ML infrastructure and ML platforms (e.g., TensorFlow, PyTorch, Onyx).

Preferred qualifications:

+ Master's degree or PhD in Computer Science or related technical field.

+ 1 year of experience in a technical leadership role.

+ Experience with cloud computing platform, or google cloud platform.

+ Experience with privacy/security.

+ Experience with Ads.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Privacy Sandbox team at Google is going through a huge transformation, opening up possibilities for several greenfield projects. We are looking to hire for the Machine Learning Inference Platform. This team will be responsible for developing a privacy-safe platform that allows Ad Techs to execute their own pre-trained ML models (Tensorflow, PyTorch or Onnx). Our platforms will allow deployments into public clouds (Google Cloud Platform , Cloud Computing Platform) as well as private cloud environments. Our goal is to develop the best privacy enhancing technologies that Ad Techs can use for aiming users, while still respecting their privacy.

In this role, you will have the opportunity to influence several early stage prototypes and shape the future of Ads Relevance.

The Privacy Sandbox initiative aims to create technologies that both protect people's privacy online and give companies and developers tools to build thriving digital businesses. Our team is dedicated to strengthening the Web and Android platform against tracking and fingerprinting, while also developing new privacy-preserving APIs to support personalization and measurement on the web. We are committed to collaborating with stakeholders in the industry to develop and implement viable, alternative solutions in a way that protects the privacy of users while also ensuring the continued vitality of the web.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

+ Write and test product or system development code.

+ Design, develop and launch a new suite of privacy preserving Ads APIs that would shape the future of Ads Relevance.

+ Design, implement and launch server side components that enable execution of pre-trained models to improve utility and relevance.

+ Do rapid prototyping of different ideas, experiment with various technology and design choices, and inform our long-term architecture.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.