[Remote] Machine Learning Engineer Technical Fellow

Note: The job is a remote job and is open to candidates in USA. Indeed is a job-matching company whose mission is to help people get jobs. The Machine Learning Engineer Technical Fellow will provide technical leadership to accelerate improvements across core search and recommendations platforms, architect AI-first matching capabilities, and lead large-scale machine learning initiatives across teams.

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
• You will be able to work from anywhere within the United States for this role

Benefits

• Quarterly bonuses
• Restricted Stock Units (RSUs)
• A Paid Time Off policy
• Many region-specific benefits
• You will be able to work from anywhere within the United States for this role.

Company Overview

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