Note: The job is a remote job and is open to candidates in USA. Indeed is the world’s number 1 job site, and they are seeking a Machine Learning Engineering Fellow to lead technical innovations in their core search and recommendations platforms. This role involves collaborating with various teams to develop machine learning solutions that redefine employment opportunities.
Responsibilities
- Identify, architect, and drive innovative machine learning solutions across the Indeed platform spanning multiple teams and organizations
- Collaborate with cross-functional partners to clarify requirements and plan large-scale initiatives
- Partner with senior leadership to develop and influence long-term technical strategy
- Guide and influence people at all levels of the company in delivering significant initiatives
- Mentor and support the growth of machine learning engineers and emerging engineering leaders
- Propose and oversee initiatives that improve the efficiency and productivity of the machine learning organization
- Contribute hands-on when needed by diving into code and sharing machine learning engineering best practices across the organization
Skills
- Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 15 years of related experience; or a Master's degree with a minimum of 12 years of experience; or a PhD with 8 years experience
- Experience guiding through influence and delivering predictable results in complex organizations
- Proven ability to translate product direction into machine learning architecture and strategy
- Effective and inclusive verbal and written communication to a variety of different audiences
- Experience coding in Java, C, C++, or Go in backend development; Tensorflow, PyTorch, Sagemaker, or equivalent ML Platforms for model development; and Python or R for data analytics
- Experience with SQL Databases such as Presto, AWS Athena, Postgres, BiqQuery, or equivalent
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