Minimum qualifications:
- Bachelor’s degree or equivalent practical experience
- 15 years of experience working as a technical software engineering leader or 13 years with an advanced degree
- Experience solving problems, including applying ML to solve problems
Preferred qualifications:
- 20 years of professional experience in software engineering
- Experience in technical innovation in computer architecture, compiler optimization, or related fields
- Experience in reasoning and quantifying relative impacts and risks of technical work that could require the involvement of multiple engineers
- Understanding of responsible AI practice and experience in ML technologies
- Technical experience in systems and software with the leadership skills needed to influence technical leaders across the company
- Ability to quickly ramp up in new subject areas with short notice to guide mission-critical research into the largest potential risks related to infrastructure usage
About the job
As the Principal Engineer, Responsible AI, you will lead collaboration with research and product areas, to understand the broader Responsible AI space, including fairness, explainability, governance, privacy, security, and robustness. You will drive a technical roadmap across products and align project plans for measuring and remediate Responsible AI problems for Core ML products and solutions. You will engage with research, compliance, and privacy teams to lead the Responsible AI technical roadmap for ML journeys in production. You will drive strategic technical engagements to drive inclusion and responsibility in Core ML offerings and design, guide, and vet systems designs relevant to Responsible AI to ensure the solution is effective in real production systems. You will mentor and train other team members on system design, machine learning modeling, and coding techniques relevant to the Responsible AI space.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $256,000-$384,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.
Responsibilities
- Produce roadmaps across the technical scope, including consulting on objectives and key results across teams, reviewing designs, participating in and resolving technical discussions, and driving engineering investments for Core ML.
- Define technical goals and guide teams around technical decisions they can make, providing development support to engineers in the area. Escalate to directors or vice presidents about available team leads, resources, or challenges in development for the team.
- Provide leadership in critical situations or situations that require complex and immediate triaging, technical problems, other key work, and help managers of associated teams understand the larger technical issues contributing to challenges.
- Be an executive reviewer for changes or technical decision-making, participate in calibration and promotion feedback, and develop/drive decision making and technical review processes.
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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.