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Our Mission

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Day to Day

As the Machine Learning Engineer Technical Fellow on Marketplace Efficiency, your technical leadership will play an integral role in improving how we manage our marketplace. The team's focus is to balance the concerns of jobseekers, employers, and overall marketplace health through pricing, bidding, ranking, and market design. As the most senior MLE on the team, you will set the bar for quality and rigor in how we manage the tradeoffs in our marketplace through metric definition, experiments, and monitoring. You will partner with Product, Software Engineering, and Data Scientists to design systems, models, and experiments that impact millions of jobseekers and employers. The labor market is also undergoing large-scale changes due to AI and macro shifts, so this role has a unique opportunity to impact how Indeed's marketplace adapts to meet the challenge.

You will be able to work from anywhere within the United States for this role.

Responsibilities

+ Define the marketplace objective and guardrail metrics, and improve the experimentation methodology used to trade off jobseeker, employer, and marketplace-health outcomes.

+ Have a strong point of view on how our machine learning systems could improve, and work with the team to do so

+ Partner with senior leadership to develop and influence long-term marketplace strategy

+ Mentor and support the growth of machine learning engineers and data scientists

+ Contribute hands-on when needed by diving into code or data and sharing best practices across the organization

Skills/Competencies

+ Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 15 years of related experience; or a Master's degree with a minimum of 12 years of experience; or a PhD with 8 years experience

+ Experience running large scale causal experiments, ideally in a two-sided marketplace

+ Experience building ranking, recommendation, or matching systems at scale

+ Experience guiding through influence and delivering predictable results in complex organizations

+ Proven ability to translate product direction into machine learning architecture and strategy

+ Effective and inclusive verbal and written communication to a variety of different audiences

+ Experience coding in Java, C, C++, or Go in backend development; Tensorflow, PyTorch, Sagemaker, or equivalent ML Platforms for model development; and Python or R for data analytics

+ Experience with SQL Databases such as Presto, AWS Athena, Postgres, BiqQuery, or equivalent

Salary Range Transparency

Tier 1 - United States of America $227,000 - 341,000 USD per year

Tier 2 - United States of America $253,000 - 379,000 USD per year

Tier 3 - United States of America $278,000 - 416,000 USD per year

Tier 4 - United States of America N/A

Tier 5 - United States of America $316,000 - 474,000 USD 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 !

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit https://www.indeed.com/careers/accommodations . If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page ( https://www.indeed.com/careers ).

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

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Machine Learning Engineer Technical Fellow

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