Machine Learning Engineer II

Senior Machine Learning Engineer

As the world's number one 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.

As a Senior Machine Learning Engineer on our Marketplace Efficiency team, you will build the models that make our two-sided marketplace work for employers and job seekers. You will own problems end to end – frame the question, build the model, evaluate it offline, then run a live experiment to measure what changed. The work spans prediction, forecasting, and optimization under uncertainty at global scale. The marketplace reacts to what our models do, so you will reason about cause and effect rather than correlation. You will also apply generative AI where it improves the work, from evaluation tooling to new modeling approaches.

The team runs on evidence. Every experiment records its hypothesis, its result, and the question it opens next. You will partner with product, Data Science, and engineering counterparts, and mentor other engineers and scientists. We protect capacity for exploratory research, so part of your time goes to ambitious bets rather than incremental gains.

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 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
• Proficiency in Python for model development and production code
• Fluency in SQL to query and analyze large datasets
• 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.)

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 N/A

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.

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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.

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