Senior Ml Engineer: Genai & Mlops In Production

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** 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.
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* Comscore, Total Visits, March 2025)

** Day to Day*
* At Indeed, we are committed to delivering exceptional experiences that connect job seekers with opportunities through innovative technology. We integrate machine learning at every step to create consistent, engaging, and secure experiences that meet the needs of our users. Our teams consist of Software Engineers, UX Designers, Product Managers, and Machine Learning professionals collaborating across regions to drive impactful business outcomes.
As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will include developing and innovating machine learning ecosystems that upgrade job seeker journey experience end to end

** Responsibilities*
*

• Coach Machine Learning Engineers and Data Scientists on the Journey team to improve their performance, advise them on their career direction, and develop their qualifications.
• Work to understand, prioritize, and plan the team's work items without external guidance.
• Ensure delivery of machine learning solutions, set expectations for what can be done and by when, and prioritize incoming projects.
• Improve existing Agile, ML, and A/B testing processes and develop new ones.
• Scope projects, gather and improve on requirements, and delegate work effectively.
• Partner with and provide project direction and feedback to cross-functional peers, including Product Managers, Software Engineers.
• Remove roadblocks and give individual contributors autonomy and ownership.
• Brainstorm with teammates about practical experimental design, navigating production codebases, and model development.
• Be prepared to closely engage and contribute directly to implementation when necessary.

** Skills/Competencies*
*

• Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master's degree with a minimum of 6 years of experience; or a PhD with a minimum of 3 years experience
• Demonstrated achievement as a Manager in Machine Learning Engineering, overseeing teams of 3 or more, and addressing intricate, large-scale problems
• Well-versed in coding (Python, Java, Go, or C++) and experience with SQL Databases like Presto, and data processing frameworks like Spark
• Have full-stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring
• Highly effective in coaching Machine Learning Engineers, facilitating qualification enhancement, and fostering career development

** Salary Range Transparency*
* Tier 1 - United States of America 163, USD per year
Tier 2 - United States of America 182, USD per year
Tier 3 - United States of America 199, USD per year
Tier 4 N/A
Tier 5 - United States of America 227, 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…