Senior Machine Learning Engineer

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 2026) Day to Day At Indeed, our mission is to help people get jobs. Every search and homepage visit runs a real-time auction that ranks sponsored and organic jobs for millions of jobseekers. A common ranking utility decides that order across Indeed and its partner surfaces. As a Senior Machine Learning Engineer on the Utility team in Marketplace Efficiency, you will build the models and tools behind that utility. You will work on dynamic filters that adapt to each request and on models for Multi‑Armed Bandit or Utility algorithms. You will build scalable, high‑performance components that rank millions of jobs for millions of jobseekers in real time. You will also build and maintain request‑level simulation tooling. This tooling lets scientists replay production traffic and test ranking, utility, and filter changes offline before a live experiment. On a daily basis, you will explore data to define problem statements, build and tune models and algorithms, and write production code. You will scale model, algorithms and filter improvements to production, run A/B experiments to measure their impact, and monitor performance. You will do science research and run experiments that help optimize the outcomes for Employers, Job Seekers and Marketplace. You will collaborate with engineers, scientists, and product managers, and stay current with advances in the field. Responsibilities Build highly scalable and performant recommendation systems and technologies that can identify optimum matches between millions of jobs and millions of job seekers in real-time. Experiment with Proof‑Of‑Concept Machine Learning (POC ML) model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology. Mentor other software engineers, data scientists, and Machine Learning Engineers in the team. Break down larger Machine Learning initiatives into pieces that deliver incremental business value and implement them. Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR). Skills/Competencies Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience Prior success in deploying impactful Machine Learning solutions to large‑scale production systems Solid knowledge of data structures and algorithms Exceptional sense of ownership Excellent written and verbal communication in English, effective with technical audiences Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) Experience building simulation, offline evaluation, or counterfactual estimation tooling for ranking, recommendation, or advertising systems Proficiency in Python and SQL for model development and large‑scale data analysis. Salary Range Transparency Tier 1 – United States of America 138,000 – 208,000 USD per year Tier 2 – United States of America 154,000 – 230,000 USD per year Tier 3 – United States of America 169,000 – 253,000 USD per year Tier 4 – United States of America NA Tier 5 – United States of America 193,000 – 289,000 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 ( 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 ! 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 . 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 ( ). 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. Indeed’s Employee Recruiting 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 , we also want to make you aware of our recruitment specific privacy policy found at . Reference ID: 47873 The deadline to apply to this position is 10/23/2026. 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. #J-18808-Ljbffr Indeed