Machine Learning Engineer Technical Fellow

Your job

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.

Who you are

• 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

Who we are

• 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 

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)

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.

Salary Range Transparency

Tier 1 - United States of America $227,000 - 341,000 USD per yearTier 2 - United States of America $253,000 - 379,000 USD per yearTier 3 - United States of America $278,000 - 416,000 USD per yearTier 4 - United States of America N/ATier 5 - United States of America $316,000 - 474,000 USD per year

EEO and Accommodations

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.

Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs.

Agency Disclaimer

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. 

The deadline to apply to this position is 7/15/26. Job postings may be extended at the hiring team’s discretion based on applicant volume.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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Reference ID: 47326