Note: The job is a remote job and is open to candidates in USA. Indeed is a job site whose mission is to help people get jobs. The Staff Machine Learning Engineer III will lead a major workstream focused on using AI and machine learning to improve the job-seeker experience, including developing and deploying predictive models, optimizing search and matching technology, guiding technical direction, and mentoring engineers.
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
- 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
Benefits
- Quarterly bonuses
- Restricted Stock Units (RSUs)
- A Paid Time Off policy
- Many region-specific benefits
- US-Remote work location
Company Overview
Company H1B Sponsorship