Machine Learning Engineer Technical Fellow

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Comscore, Total Visits, March 2025)

Day to Day

As a Machine Learning Engineering Fellow at Indeed, your technical leadership will play an integral role in accelerating improvements to our core search and recommendations platforms. You will have the opportunity to collaborate with smart, caring, and inclusive co-workers, including Product Managers, Software Engineers, User Experience, and, of course, your fellow MLEs. You'll be working across our retrieval, ranking, metadata, resume, and machine learning platform teams. If you love learning about a variety of different machine learning systems, identifying areas for improvement, and managing across teams to deliver on your vision, then this is a great role for you.

The Opportunity & The Power of Indeed Matching: With tens of millions of daily users and billions of structural data points, Indeed possesses one of the most powerful and scaled multi-sided matching ecosystems in the world. This role represents a unique, step-function opportunity to move beyond incremental optimization and architect the next generation of AI-first matching. You will directly spearhead transformative innovations in advanced generative retrieval, extreme multi-label classification clustering, and deep semantic ranking—fundamentally redefining how human potential connects with global employment opportunities at a massive scale.

You’ll observe the impact of your work every day. So if you’re a machine learning engineer who is passionate about driving innovation that helps people get jobs, we want you to apply!

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

Responsibilities

• Identify, architect, and drive innovative machine learning solutions across the Indeed platform spanning multiple teams and organizations
• Collaborate with cross-functional partners to clarify requirements and plan large-scale initiatives
• Partner with senior leadership to develop and influence long-term technical strategy
• Guide and influence people at all levels of the company in delivering significant initiatives
• Mentor and support the growth of machine learning engineers and emerging engineering leaders
• Propose and oversee initiatives that improve the efficiency and productivity of the machine learning organization
• Contribute hands-on when needed by diving into code and sharing machine learning engineering 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 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 orie