Job description
Job Description:
Design and execute on Artificial Intelligence (AI) and Machine Learning (ML) research agenda to deliver AI products to serve various business teams; guide successful completion of programs that identify patterns and make decisions with minimal human intervention; determine technical objectives of the assignment; lead the design of prototypes, partnering with the product team and other stakeholders through development; conduct studies to support product or application development; participate in cutting edge research in machine intelligence and machine learning applications; build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing state-of-the-art statistical and machine learning methodologies; collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features; adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU); act as technical advisor within internal and cross team collaboration and solve complex Machine Learning challenges; mentor more junior members of ML staff. Approximately 20% of the time supervising peers including Research Data Scientist Intern, Machine Learning Engineer, and Technology Leadership Program on technology and project-based needs.
Requirements:
Requires Master’s in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or another directly related field and three months experience in job offered or three months experience as System Data & Research Intern or in similar position(s) in Machine Learning engineering, data science, or AI research engineering. Background in education, training, or experience must include experience with Natural Language Processing, text understanding, conversational Artificial Intelligence (AI), classification, pattern recognition, computer vision, and human computer interaction; experience with data mining or Artificial/Machine Intelligence; experience with deep learning frameworks.
Location: The Vanguard Group
Malvern, PA
About Vanguard
We are Vanguard. Together, we’re changing the way the world invests.
For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.
We want to make success accessible to everyone. This is our opportunity. Let’s make it count.
Inclusion Statement
Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”
We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.
When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.
Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Future of Work
During the pandemic, we transitioned to a work from home model for the majority of our crew and we continue to interview, hire, and on-board future crew remotely.
As we have developed the path forward, we have taken a thoughtful approach that both maximizes the advantages of working remotely and the many benefits of coming together and collaborating in a shared workspace. We believe that in-person interactions among our crew are important for preserving our unique culture and advantageous for the personal development of our crew.
When our Crew return to the office, many will work in our hybrid model. A smaller proportion of our crew will operate in the Work from Home work model (for example, field sales crew); or in the Work from Office model (for example, portfolio managers).
The working model that your role falls into will be communicated to you in the interview process – please do ask if you are unsure. We encourage you to make the decision regarding your job interview and offer knowing which model your role will fall into. We will test and learn as our ways of working evolve and will continue to evaluate working models along the way.
