You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you’ll be doing...
Our customers rely on the physical connected devices we build. Delivering a top-notch experience requires analyzing high-volume telemetry and video/sensor streams to monitor device health, understand usage patterns, and enhance driver and user safety.
That’s where you come in. Joining our AI team, you will design, train, and optimize the models that power our product ecosystem, ranging from ultra-lightweight, low-latency models running directly on edge hardware to large multimodal architectures in the backend.
You will be based in our Florence office with a flexible hybrid schedule, working as part of a global, cross-functional team.
Responsibilities:
- Designing, training, and evaluating Machine Learning, Computer Vision, and Deep Learning models for both edge devices and cloud backends.
- Collecting, cleaning, annotating, and verifying large-scale datasets (labeled, pseudolabeled, or synthetic) while ensuring data quality and privacy compliance.
- Benchmarking and optimizing models to run efficiently within hardware resource constraints such as memory footprint, latency, and power consumption.
- Writing high-quality, maintainable, and production-ready code following TDD, CI/CD, and robust software design practices.
- Partnering closely with embedded software, firmware, product, and hardware engineering teams to integrate models into physical devices and cloud pipelines.
- Supporting model deployment and establishing monitoring workflows to track model health and performance drift in production.
- Carrying out research, building POCs on emerging AI/CV technologies, and contributing to company innovation goals.
What we’re looking for...
You’ll need to have...
- Master’s degree in Computer Science, Software Engineering or equivalent relevant work experience.
- Experience working withPython and standard ML/DL libraries (pytorch, tensorflow, numpy, pandas).
- Hands-on experience developing, training, and evaluating Computer Vision or Machine Learning models on real-world datasets.
- Familiarity with software engineering best practices (Git, unit testing, modular code design).
- Experience using AI coding assistants.
Even better if you have…
- Experience with model optimization for edge/embedded deployment (e.g., ONNX, TensorRT, TFLite, model quantization/pruning).
- Experience working with C/C++ or Rust for production integration.
- Background in multimodal data processing (e.g., combining computer vision with time-series sensor data like IMU, GPS, or telematics).
- Exposure to MLOps tooling (MLflow, Docker, CI/CD pipelines) or cloud platforms (AWS/GCP/Azure).
- Excellent communication skills and ability to work in a cross-functional team
- Knowledge of Agile development workflows.
Why Verizon?
Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.
- We are a ‘pay for performance’ company and your contribution is rewarded through competitive salaries and performance-based incentives. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program.
- Your benefits are market competitive and delivered by some of the best providers.
- You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.
- We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*.
- Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.
- You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.
Benefit packages are tailored to the specific country where a position is based.
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 workingIn 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 Hours40Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
Skills Required
- Master's degree in Computer Science, Software Engineering, or equivalent relevant work experience
- Experience with Python and standard machine learning and deep learning libraries, including PyTorch, TensorFlow, NumPy, and pandas
- Hands-on experience developing, training, and evaluating computer vision or machine learning models on real-world datasets
- Familiarity with software engineering best practices, including Git, unit testing, and modular code design
- Experience using AI coding assistants
- Experience optimizing models for edge or embedded deployment using technologies such as ONNX, TensorRT, TensorFlow Lite, quantization, or pruning
- Experience with C, C++, or Rust for production integration
- Experience processing multimodal data, including computer vision and time-series sensor data such as IMU, GPS, or telematics
- Exposure to MLOps tools such as MLflow and Docker, CI/CD pipelines, or cloud platforms such as AWS, GCP, or Azure
- Excellent communication skills and ability to work in a cross-functional team
- Knowledge of Agile development workflows
Verizon Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.
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Fair & Transparent Compensation — Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
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Retirement Support — Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.
Verizon Insights
What We Do
Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We're a diverse network of people driven by our shared ambition to move the world forward - collectively building the network America relies on most. Here, we have the ability to learn and grow at the speed of technology, the space to create within every role, and the opportunity to shape a rewarding career.
Why Work With Us
Integrity. Respect. Excellence. Accountability. These are some of the key values at the heart of our Credo. This code of conduct lays out how we show up as a responsible business every day. It is the blueprint that inspires us to live up to the highest standards and defines who we are and how we work.
