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Aritificial Intelligence/ Machine Learning (AI/ML) Engineering entry level opportunity

Basking Ridge (Hybrid)
Closing date
14 Feb 2024

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Employer Sector
Technology, ICT & Telecoms
Contract Type
Full Time
Job Type
Machine Learning
When you join Verizon
Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together-lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.
What you’ll be doing...
From internships and co-ops to leadership development programs and entry-level roles, Verizon’s award-winning Campus program allows you to take the next step toward shaping your future. Our Campus program has been recognized with awards like WayUp’s Top 100 Internship Programs and RippleMatch’s Campus Forward Award. Why the accolades? It’s easy. We quickly immerse our early in career V Teamers in meaningful work that deliver tangible business impact. Plus, you’ll have the opportunity to network with V Teamers across the globe, find mentors, and establish meaningful friendships that could last a lifetime. Start here and go anywhere, with opportunities across the business. When students like you join the V Team, our network becomes even stronger.

This position is for an Aritificial Intelligence/ Machine Learning (AI/ML) Engineering entry level role in the Verizon Global Network & Technology organization. In this role you be responsible for assisting with leveraging big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. You will work under supervision to assert that production ML tasks are working properly in terms of actual execution and scheduling, ensuring that data science code is maintainable and scalable.

As an AI/ML engineer you will:
  • Support the implementation of data science prototypes.
  • Research and provide input on ML algorithms and tools.
  • Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
  • Develop one's skill set and staying up-to-date on developments in the field.
  • Select appropriate datasets and data representation methods.
  • Gather and input information into existing ML libraries and frameworks.
  • Run machine learning tests.
  • Develop, test, deploy and maintain machine learning system software.

You must be currently enrolled in a degree program and be in good academic standing to be considered.

In this hybrid full time position, you’ll have a defined work location that includes work from home and assigned office days set by your manager. This hybrid role will be days assigned by your manager.

If you are interested in other roles and locations in addition to this one, please submit your application to those postings as well in order to be considered.
What we’re looking for...
You’re a motivated self-starter. Never satisfied with the status quo, you’re always trying to perform at your personal best. You thrive in a fast-paced environment where new challenges come up every day. You are flexible, dependable, and work well in varying environments. Learning quickly is personally rewarding and inspires you to take smart risks.

You’ll need to have:
  • Authorization to work in the without restrictions or need for future sponsorship.
  • Current enrollment in a Bachelor’s or Master’s degree majoring in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science, Computer Science or related majors with a completion date of June 2024.
  • Coursework or demonstrated experience in Python, Java, and C++.
  • Coursework or experience in deep learning (ex: CV models and other data models).
  • Coursework or experience in API Integration, Integrating AI models with software development life cycle .
  • Willingness to travel as needed.

Even better if you have one or more of the following:
  • Demonstrated strong written and communication skills.
  • Experience working with Microsoft Office and/or Google Suite
  • Proficient in Deep Learning: CV models, other data models (TensorFlow, Ansile).
  • Experience in Generative AI - NLP, LLMs, Open AI, GitHub Copilot, or ChatGPI integration.
  • Experience in AI/ML - Anomaly detection and Data Visualization.
  • Ability to work with/in Supervised and Unsupervised Learning, Deep Learning Networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and/or Software/ML Tools

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.

Where you'll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
Where you’ll be working
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
Scheduled Weekly Hours
Equal Employment Opportunity
We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.

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