Manager, Machine Learning

As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

Responsibilities:

• As a Manager, you will participate in key technical and design discussions with technical leads in the team.
• You will lead the AI strategy for an area and work with the engineering and product leads to align it with the larger vision for the Trust organization
• You will collaborate with trust-focused teams such as the Policy team, legal team, ML infrastructure team, and AI foundation team.
• You will attract world class talent and provide technical guidance, career development, and mentoring to team members.
• You will hold the team to a high quality bar for machine learning tech and actively reduce tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
• You will partner with data science & analytics teams, product & infrastructure teams to build and onboard new modeling use cases online.
   

Basic Qualifications:

• MS/PhD degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline.
• 8+ years of experience in machine learning, artificial intelligence, or related fields.
• 5+ years in an architect or technical leadership role driving large-scale AI initiatives.
• Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
• Experience of leading a team of engineers as a people manager.
• 1+ year(s) of management experience or 1+ year(s) of staff level experience with management training

Preferred Qualifications:

• 3+ years of management experience.
• MS or PhD in Computer Science, Statistics or related technical discipline
• Experience with machine learning, optimization algorithms, and/or deep-learning techniques
• Experience developing large scale systems
• Leadership or mentorship experience is preferred
• Analytical approach coupled with solid communication skills and a sense of ownership
• Track record of producing papers in conferences such as KDD, ... and Patenting Innovations

You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels

Suggested Skills
People Management
Clustered computing systems experience
Experience in building ML data systems

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