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Edge Ai Machine Learning Jobs in Secaucus, NJ (NOW HIRING)

We work with frontier AI labs pushing the edge of what models can do, and with hundreds of enterprises including Fidelity, JPMorgan, and Comcast who need to use their real data safely. This role sits ...

New

Goodfire is a research company focused on building safe and powerful AI systems through ... Responsibilities : • Turn cutting edge interpretability research into production ready tools. • ...

Job Summary : Goodfire is a research company focused on understanding and designing AI systems ... Responsibilities : • Turn cutting edge interpretability research into production ready tools. • ...

... edge AI models into tools that are useful and used. You've shipped ML systems end-to-end and at ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge ... enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model ...

ExaCare AI is a leading health tech company aiming to build the AI operating system for post-acute care. They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale ...

Showing results 21-40

Edge Ai Machine Learning information

See Secaucus, NJ salary details

$25.9K

$43.3K

$89.5K

How much do edge ai machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for edge ai machine learning in Secaucus, NJ is $43,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,800.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
What are popular job titles related to Edge Ai Machine Learning jobs in Secaucus, NJ? For Edge Ai Machine Learning jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Edge Ai Machine Learning jobs in Secaucus, NJ look for? The top searched job categories for Edge Ai Machine Learning jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Edge Ai Machine Learning jobs? Cities near Secaucus, NJ with the most Edge Ai Machine Learning job openings:
Infographic showing various Edge Ai Machine Learning job openings in Secaucus, NJ as of June 2026, with employment types broken down into 5% Internship, 72% Full Time, 7% Part Time, and 16% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $43,294 per year, or $20.8 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 hours ago


Job description

Mutual of America Financial Group
Job Title:  
Vice President, AI Strategy
Location: New York, NY or Boca Raton, FL (hybrid) 

Who Are We:

At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our Company is built upon a solid foundation of integrity, excellence, and social responsibility. We were founded in 1945 to provide small and mid-sized nonprofit organizations with pension and retirement-related services, along with leading customer support. Today, we provide these services also to for-profit companies, as well as to governmental entities, Tribal enterprises, institutional investors, and individuals. We work diligently to understand the needs of our customers so we can help them achieve their retirement savings goals.

We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future.

Role Summary:

We are looking for a Vice President of AI Strategy to join us to lead AI initiatives, driving value for the business by leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. This leader will own the development and execution of the AI strategy, collaborating with the data team to ensure that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms.

This is a strategic role, focused on working with business leaders and technology teams to define the company’s AI strategy and building scalable AI solutions that can be used across the organization. The role requires exceptional leadership, communication, and organizational skills, with the ability to balance strategic direction and hands-on execution. You will ensure that AI initiatives align with the broader organizational goals and deliver measurable value.

Responsibilities:

  • Define AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s AI strategy in collaboration with the business.
  • Build partnerships with executive leadership and senior team members to execute on the vision for managing AI projects and applications, to exploit data and AI capabilities to maximize the value.
  • Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments.
  • Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making.
  • AI strategy implementation and scaling, oversee the execution and scaling of the pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas.
  • Manage the development, refinement, and deployment of cutting-edge AI models and pipelines across various applications.
  • Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders to integrate AI governance principles into project development and deployment.
  • Data-driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization
  • Cross-functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows.
  • Innovation and continuous improvement: Ensure that AI products remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge.
  • Collaborate on data projects: Partner with business units and data teams to ensure successful execution of critical data projects that will be leveraged by AI.

Required Qualifications:

  • Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
  • Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape.
  • Experience integrating with data platforms that support AI, data engineering, and analytics projects across an organization.
  • Strong knowledge of AI and data technologies including Python.
  • Experience with Natural Language Processing (NLP) and model interpretability libraries, bringing explain-ability to complex models.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders.
  • The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders.
  • Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.

Preferred Qualifications:

  • 5 years of leading AI projects at an enterprise level
  • Proficiency in data analysis tools and programming languages like SQL, Python, R.
  • Understanding of data modeling and data architecture principles
  • Expertise in defining and implementing data strategy, governance, and data management best practices.
  • Proficient with data governance best practices

What we offer you:

  • Competitive base salary
  • Annual Bonus
  • Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment
  • 401(k) Match: 100% Employer Match on up to 6% employee contributions (Salary and Incentive Comp)
  • Parental Leave: 8 weeks fully paid
  • Paid time off: 28 days plus two floating personal holidays 

The salary range below describes the minimum to maximum base salary range for this role.  The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and / or company performance.

Base Salary Range: $176,700 - $265,100

Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica

Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law.