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Director Machine Learning Jobs in New Jersey (NOW HIRING)

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Spearhead the strategy and execution of enterprise-wide data science, machine learning, and AI ... Direct the development and implementation of enterprise standards for model development, validation ...

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Director Machine Learning information

See New Jersey salary details

$36.5K

$93.3K

$143.1K

How much do director machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for director machine learning in New Jersey is $93,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $107,600.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What are the most commonly searched types of Machine Learning jobs in New Jersey?

The most popular types of Machine Learning jobs in New Jersey are:

What are popular job titles related to Director Machine Learning jobs in New Jersey?

For Director Machine Learning jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in New Jersey look for?

The top searched job categories for Director Machine Learning jobs in New Jersey are:

What cities in New Jersey are hiring for Director Machine Learning jobs?

Cities in New Jersey with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,333 per year, or $44.9 per hour.

Director, AI & Machine Learning Engineering

Verizon

Basking Ridge, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New

Verizon rating

7.8

Company rating: 7.8 out of 10

Based on 522 frontline employees who took The Breakroom Quiz

36th of 99 rated telecommunications companies

Job description

When you join Verizon
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...
You will lead a highly sophisticated team of propensity modelers to support the base management organization as it strategically transitions to an agile pod model. Serving as the leader of the modeling chapter, you will orchestrate the deployment of data scientists across cross-functional base management pods dedicated to optimizing specific customer lifecycle stages and critical trigger events.
  • Partner directly with marketing and business leadership to deliver advanced machine learning and modeling capabilities that unlock deep microsegmentation and hyper-personalization, directly driving down customer churn.
  • Orchestrate all chapter operations, including strategic hiring, talent development, technical training, resource management, and process improvement.
  • Establish, elevate, and audit modeling standards and governance across the enterprise to ensure maximum prediction accuracy and business impact.
  • Lead cross-functional collaboration and partnership with key stakeholders across business transformation, technology, finance, and advanced analytics teams.
  • Create and deliver compelling executive presentations that clearly translate complex AI science strategies into meaningful business narratives.

Where you'll be working...
This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.
What we're looking for...
You pair an empowering, people-first leadership style with deep data science expertise. You easily translate complex predictive modeling into business strategy, mentoring your team to tackle high-stakes technical challenges.
You'll need to have:
  • Bachelor's degree or four or more years of work experience.
  • Ten or more years of relevant work experience.
  • Experience leading teams of data scientists or predictive modelers.
  • Experience with customer lifecycle marketing, base management, or churn mitigation strategies.
  • Experience with agile delivery frameworks or pod-based operating models.
  • Willingness to travel up to approximately 25% of the time.

Even better if you have one or more of the following:
  • Master's degree or PhD in data science, statistics, computer science, or a related quantitative field.
  • Expert-level knowledge of advanced propensity modeling, machine learning algorithms, and personalization architectures.
  • Experience working with large-scale cloud data platforms such as Google Cloud Platform, AWS, or Azure.
  • Strong proficiency in developing enterprise-level modeling standards, model governance, and process automation frameworks.
  • Exceptional executive communication and storytelling skills with the ability to bridge technical AI concepts and commercial business outcomes.

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 working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and Compensation
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $143,500.00 - $275,000.00.

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