Machine Learning Engineer II

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.

As a Senior Machine Learning Engineer, you will work on developing, deploying predictive models and genAI capabilities that support various business functions. Your daily activities include exploring data to define problem statements, building and optimizing machine learning models, and monitoring their performance in production environments. You will collaborate with cross-functional teams to integrate machine learning solutions into products and stay informed about the latest advancements in the field to continuously improve model effectiveness and innovation.

• 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).

• 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.)

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

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.

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  !