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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 jobs for millions of jobseekers and employers. The ranking utility decides how that auction trades off relevance for jobseekers, value for employers, and revenue for Indeed.

As a Machine Learning Engineer III, you will be a team lead on the Utility team in Marketplace Efficiency. You will own the Utility and multi-armed bandit (MAB) workstream. This includes reward design, contextual bandit tuning, arm management, and dynamic filters. You will define the priorities, success metrics, and guardrails that keep exploration safe for jobseekers, employers, and revenue. You will help drive technical direction for the team and guide other members to reach product and technical goals.

On a daily basis, you will explore data, formulate optimization problems, and prototype contextual bandit and reward-optimization improvements. You will scale them to production, run high-quality A/B experiments, and monitor results. You will break large initiatives, such as arm management and MAB tuning, into pieces that deliver incremental value, and guide the team on the same.

You will also partner with Engineering teams, Data Science, and Product to improve how Indeed ranks jobs. You will explain optimization tradeoffs and experiment results in clear terms, evangelize your team's work, and stay current with advances in the field.

Responsibilities

+ Partner with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience.

+ Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams

+ Define and clarify project priorities, deliverables, and success criteria in partnership with cross-functional teams.

+ Act as a bridge between technical and non-technical collaborators, facilitating effective communication and comprehension of project goals and outcomes.

+ Mentor and grow other software engineers and Machine Learning Engineers across teams

+ Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them

+ Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the 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 8 years of related experience; or a Master's degree with a minimum of 6 years of experience; or a PhD with 3 years experience

+ Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while partnering across teams

+ Solid knowledge of data structures and algorithms

+ Sense of ownership and accountability as a key contributor in the technical and product domains

+ Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)

+ Excellent written and verbal communication in English, effective with technical and business audiences

+ Direct experience with multi-armed or contextual bandits, reinforcement learning, or reward optimization in production ranking or recommendation systems

+ Solid foundation in optimization, such as constrained or multi-objective optimization, applied to marketplace, ranking, or advertising problems

Salary Range Transparency

Tier 1 - United States of America 163,000 - 245,000 USD per year

Tier 2 - United States of America 182,000 - 272,000 USD per year

Tier 3 - United States of America 199,000 - 299,000 USD per year

Tier 4 - United States of America NA

Tier 5 - United States of America 227,000 - 341,000 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 ( https://www.indeed.com/careers/paytiers ), 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 https://www.indeed.com/careers/benefits !

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 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 ).

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