Machine Learning Engineer III

Day to Day

As a Machine Learning Engineer III, you will be a team lead. You will own one of the team’s major work streams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same.

Additionally, you will partner with cross‑functional teams to evangelize your team's work and stay updated with the latest advancements in the field.

• 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).

• Requires a Bachelor’s degree in Computer Science, Mathematics, or Statistics, 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.

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 – N/A

Tier 5 – United States of America 227,000 – 341,000 USD per year

Health, dental, vision, disability and life insurance; 401k plan; equity‑based incentive program; open paid time off; 11 paid holidays a year; up to 26 weeks of paid parental leave.

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, veteran status, or any other non‑merit based or legally protected grounds.

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