Note: The job is a remote job and is open to candidates in USA. Indeed is the world’s number 1 job site, committed to helping people get jobs. They are seeking a Staff Machine Learning Engineer to lead the Employer Agents Team in developing and delivering AI-driven solutions that enhance the employer hiring journey.
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
- Familiarity with agent orchestration frameworks, LLM observability tools, and prompt optimization techniques (e.g. GEPA)
- 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)
- Paid Time Off policy
- Region-specific benefits
- Reasonable accommodations to qualified individuals with disabilities in the employment application process
Company Overview
Company H1B Sponsorship