Staff Machine Learning Engineer - Internal Only

Indeed•Remote,

1d•$163,000 - $341,000

About The Position

As a Machine Learning Engineer III, you will be a team lead. Your role centers on leveraging AI/ML to ensure a seamless experience for job seekers. You will own one of the team’s major workstreams, 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, evangelize your team's work, and stay updated with the latest advancements in the field.

Requirements

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.
Candidates must be in one of the following Job Profiles: 11264 - Data Scientist II, 11265 - Data Scientist III or 11257 - Machine Learning Engineer II.
Candidates must be part of Marketplace Monetization Intelligence organization.

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).