Senior Ml Engineer — Edge Ai & Agent Harness

** 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*
* As a Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be collaborating with a cross-functional product team to drive value and better customer experiences for our Sourcing product, which connects employers with new talent through AI. This MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure.

** 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 while collaborating with other teams.
• Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams.
• Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team to implement them.
• Represent Indeed at major Machine Learning conferences, such as 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 and/or LLM-based solutions to large-scale production systems.
• Solid knowledge of data structures and algorithms.
• Demonstrated sense of ownership and accountability as a key contributor in the technical and product domains.
• Familiarity with agent orchestration frameworks, LLM observability tools, and prompt optimization techniques (e.g. GEPA).
• Knowledge and practical experience working on Deep Learning libraries (like Torch, Tensorflow, etc.) and modern ML/LLM tooling.
• Familiarity with modern ML system design, including evaluation, experimentation, and production monitoring for predictive and LLM-based systems.
• Excellent written and verbal communication, effective with technical and business audiences.

** Salary Range Transparency*
* Tier 1 - United States of America 138, USD per year
Tier 2 - United States of America 154, USD per year
Tier 3 - United States of America 169, USD per year
Tier 4 - United States of America N/A
Tier 5 - United States of America 193, 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…