Machine Learning Engineer Technical Fellow
About The Position
As a Machine Learning Engineering Technical Fellow at Indeed, your technical leadership will play an integral role in accelerating improvements to our Trust & Safety models and infrastructure. You will have the opportunity to collaborate with smart, caring, and inclusive co-workers, including Product Managers, Software Engineers, Operations Analysts, and, of course, your fellow MLEs. You'll be working to develop new solutions to protect our users from fraud and scams, bots, and other security threats. If you love learning about a variety of different machine learning systems, identifying areas for improvement, and managing across teams to deliver on your vision, then this is a great role for you. With tens of millions of daily users, you'll observe the impact of your work every day. So if you're a machine learning engineer who is passionate about driving innovation that helps people get jobs, we want you to apply! You will be able to work from anywhere within the United States for this role.
Requirements
- 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 working within large-scale data ecosystems and distributed computing environments (e.g., Spark, Hadoop, Presto, Athena, or other relational/NoSQL databases)
- Experience guiding through influence and delivering predictable results in complex organizations
- Proven ability to translate product direction into machine learning architecture and strategy in a Trust & Safety domain
- 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
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
Benefits
- quarterly bonuses
- Restricted Stock Units (RSUs)
- a Paid Time Off policy
- many region-specific benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
