Principal Software Engineer - Machine Learning

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Day to Day

Lead architectural analysis, design, and implementation of large-scale, company-wide efforts that cross technologies and systems, both internally developed and 3rd-party-developed. Write software to fulfill larger, less well-defined full-stack work requests, including the creation of prototypes, proofs-of-concept, and reference implementations for your team's products. Responsible for working with Product Managers, Engineering leads, Science leads and other stakeholders to clarify requirements, and decompose large requests into smaller ones that can be completed sequentially or in parallel. Refine Product and Engineering goals, ensuring they align with company objectives, and drive technical direction and goals across multiple teams. Design full-stack, enterprise architecture to capture integrations between systems and workflows, identify gaps and overlaps, and direct in resolving those in order to ensure systems work effectively to deliver business value. Proactively design new systems and enhancements to existing systems to support substantial new features and products. Drive process improvements for your team. Write software to fix complex bugs, triage newly reported bugs by estimating the scope and priority of each bug, investigate and resolve difficult problems, and recommend fixes for your team’s products. Communicate the details of proposed and planned solutions to technical and non-technical audiences, including impacts of potential solutions and work needed to achieve technical plans. Support your team and peers by providing feedback in the Engineering and Product organizations regarding code changes made by other engineers, designs for new enhancements, what they are doing well, and where they have opportunities for growth. Provide detailed architectural and algorithmic guidance for projects across the organization. Write documentation for your team’s products, code, and work items. Share your expertise on products and technologies by mentoring other engineers and by helping them prioritize work items based on urgency, business impact, and goals. Guide teams both directly and indirectly through other technical leaders to deliver advertising and monetization projects of significant technical complexity. Interview candidates for various positions in the Engineering organization, and participate in group discussions on candidates’ fitness for those positions. Influence and drive technical direction and goals across multiple teams. Identify and solve complex high-value advertising and monetization problems that span multiple teams and product areas. Provide detailed architectural and algorithmic guidance for projects across the organization. Mentor technical leads across multiple teams. Guide teams both directly and indirectly through other technical leaders to deliver advertising and monetization projects of significant technical complexity. Develop and effectively communicate long-term technical vision, direction, architecture, and plans for projects that impact advertising and monetization. Interview candidates for various technical leadership positions and train other interviewers.

Position is in Seattle, Washington. Up to 100% telecommuting is permitted from anywhere in the U.S.

Responsibilities

Minimum Requirements:

Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related computer technical field; Five years of professional work experience designing and leading delivery of software or Machine Learning architectures for large scale software systems with significant traffic; Five years of experience designing and leading delivery of algorithms and Machine Learning models for large scale software systems with significant traffic; Five years of experience analyzing, informing, and developing solutions to ranking or recommendation problems based on highly complex datasets; Five years of experience programming with JVM languages, using at least one of the following software programming languages: Kotlin, Java, Scala, C, C++, C#, Python, or Go; Five years of experience in large scale data analysis, using Python and Data Query Languages; Five years of experience working with distributed databases and event streaming technologies, such as MongoDB, Kafka, Kafka Streams, or similar; Three years of experience mentoring and providing technical guidance to tech leads across multiple teams and business domains; and Three years of experience architecting and running business critical systems on cloud technologies.

Experience may be gained concurrently.

Multiple positions available.

Salary Range Transparency

Salary Range: $212,202 to $304,000 per year

Salary Range Disclaimer

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year, and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://www.indeed.com/careers/benefits!

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Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.

AI Notice

Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws.

Reference ID: 47310

The deadline to apply to this position is July 30th, 2026.

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Reference ID: 47310

Application Question(s):

Do you now, or will you in the future, require sponsorship to work in the United States?

Do you have a Bachelor's or foreign equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related computer technical field?

Do you have five (5) years of professional work experience designing and leading delivery of software or Machine Learning architectures for large scale software systems with significant traffic?

Do you have five (5) years of experience designing and leading delivery of algorithms and Machine Learning models for large scale software systems with significant traffic?

Do you have five (5) years of experience analyzing, informing, and developing solutions to ranking or recommendation problems based on highly complex datasets?

Do you have five (5) years of experience programming with JVM languages, using at least one of the following software programming languages: Kotlin, Java, Scala, C, C++, C#, Python, or Go?

Do you have five (5) years of experience in large scale data analysis, using Python and Data Query Languages?

Do you have five (5) years of experience working with distributed databases and event streaming technologies, such as MongoDB, Kafka, Kafka Streams, or similar?

Do you have three (3) years of experience mentoring and providing technical guidance to tech leads across multiple teams and business domains?

Do you have three (3) years of experience architecting and running business critical systems on cloud technologies?