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Nvidia Machine Learning Jobs in New Jersey (NOW HIRING)

... machine learning, cloud computing, and system co-design. What you'll be doing: The team is ... NVIDIA is widely considered to be one of the technology world's most desirable companies to work ...

... computer vision and machine learning algorithms that power autonomous robots, humanoids, and ... Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.

... computer vision and machine learning algorithms that power autonomous robots, humanoids, and ... Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

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Nvidia Machine Learning information

See New Jersey salary details

$25.9K

$43.2K

$89.3K

How much do nvidia machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for nvidia machine learning in New Jersey is $43,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

What is a Nvidia machine learning job?

A Nvidia Machine Learning job involves developing and optimizing AI models, deep learning frameworks, and GPU-accelerated applications. Engineers in this role work on cutting-edge research, building scalable ML solutions, and improving performance on Nvidia hardware like GPUs and AI accelerators. They collaborate with software and hardware teams to enhance AI capabilities across industries such as gaming, healthcare, and autonomous systems. Strong coding skills in Python, C++, and experience with ML frameworks like TensorFlow or PyTorch are often required.

What are the key skills and qualifications needed to thrive in the Nvidia machine learning position?

To thrive in an Nvidia Machine Learning role, a deep understanding of machine learning algorithms, proficiency in programming languages like Python or C++, and a solid background in mathematics or computer science are essential. Experience with Nvidia's CUDA, TensorRT, cuDNN, and familiarity with modern deep learning frameworks such as TensorFlow or PyTorch are highly valued, as are relevant certifications in AI or data science. Strong problem-solving skills, teamwork, and effective communication distinguish top candidates in collaborative, fast-paced environments. These skills are crucial for developing and optimizing AI solutions that leverage Nvidia’s advanced hardware and software platforms.

What are some common challenges faced by professionals in Nvidia machine learning roles?

One common challenge in Nvidia Machine Learning roles is optimizing models to fully leverage GPU architectures for both performance and efficiency, which requires continuous learning as the technology rapidly evolves. Team members often work on complex, large-scale projects that demand close collaboration across software, hardware, and research divisions. Navigating the fast pace of innovation and contributing effectively to cross-functional teams is essential for success. However, these challenges also make the role exciting and offer excellent opportunities for professional growth and hands-on experience with state-of-the-art AI solutions.

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

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

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

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

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

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

Infographic showing various Nvidia Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,232 per year, or $20.8 per hour.

Senior Machine Learning Engineer

Quantiphi, Inc.

Princeton, NJ • On-site

$140 - $190/hr

Other

Posted yesterday

New


Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies— we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud and AI-driven transformation.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake and other leading technology platforms, and our work has been recognised across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years, 3 AWS AI/ML Partner of the Year awards, 3 NVIDIA Partner of the Year awards, 3 Snowflake Partner of the Year awards. Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms. Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge generative AI and agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page.

Job Description

Location: Mid-Town NYC, USA

Work Model: In-person 3 days/week

Experience Level: 5+ Years

Engagement Context & What You’ll Build: You will join a focused pod building two tightly coupled capabilities for Humana’s internal users:

  • Internal Agentic Search Engine – Build agentic pipelines that plan, retrieve and reason across numerous internal and enterprise data sources (structured and unstructured). Design robust retrieval, grounding and orchestration layers so agents return accurate, cited and trustworthy answers. Implement tool-use, multi-step reasoning and evaluation loops that keep quality high as sources and scope grow.
  • Perplexity-Style Front End – Deliver a fast, intuitive, conversational search experience for Humana employees — answer-first, with sources, follow-ups and streaming responses. Partner across the stack to connect the agentic backend to a responsive, production-grade UI. Instrument usage, feedback and quality signals to continuously improve relevance and user trust.
Key Responsibilities
  • Build hands-on, end to end.
  • Design, code, test and ship agentic AI features into production — you write code every day, not just architecture diagrams.
  • Engineer agentic systems.
  • Develop planning, retrieval, tool-use and orchestration components for the internal agentic search engine.
  • Integrate many data sources.
  • Connect agents reliably and securely to numerous internal and enterprise data sources.
  • Deliver on Google Cloud.
  • Build, deploy and operate solutions natively on GCP (Vertex AI, GKE, BigQuery, Cloud Run and related services).
  • Ship the user experience.
  • Contribute to the Perplexity-style front end so end users get fast, grounded, well-cited answers.
  • Own quality and evaluation.
  • Establish evals, guardrails, observability and feedback loops to keep answers accurate and safe.
  • Collaborate on-site.
  • Work in person at the NYC Mid-Town office Tuesday through Thursday, pairing closely with the pod and Humana stakeholders.
  • Move fast.
  • Operate with urgency in a fast-moving engagement — iterate quickly, unblock yourself and drive outcomes.
Required Qualifications
  • Strong, current software engineering fundamentals — clean, tested and production-quality code (Python strongly preferred).
  • Demonstrated, hands-on experience building agentic AI systems (agents, tool-use, planning, multi-step reasoning, RAG/retrieval).
  • Deep expertise with the Google Cloud technology stack — e.g., Vertex AI, GKE, BigQuery, Cloud Run, Cloud Storage, IAM.
  • Experience integrating LLM applications with numerous, heterogeneous data sources (APIs, databases, document stores, search).
  • Experience taking ML/GenAI systems to production — deployment, scaling, monitoring and reliability.
  • Ability to work on-site in NYC Mid-Town 3 days per week (Tuesday-Thursday).
  • Strong Plus (Big Positives)
  • Breadth of knowledge across frontier models (e.g., Gemini, and other leading LLM families) and when to use which.
  • Hands-on experience with open-source agentic and LLM frameworks (e.g., LangChain, LangGraph, LlamaIndex or similar).
  • Front-end / full-stack exposure to help deliver a Perplexity-style user experience.
  • Experience with evaluation frameworks, guardrails and responsible-AI practices.
  • Prior experience in regulated or enterprise environments (healthcare a plus).
Ideal Candidate Profile

The right person for this team is a builder at heart — someone who is energized by shipping working software, thrives in ambiguity and raises the quality bar for everyone around them. Extremely hands-on: happiest in the codebase, shipping real features. Bridges agentic AI and solid software engineering — not just prototypes, but production systems. Pragmatic and fast — comfortable with a high-tempo, fast-moving engagement. Strong communicator who collaborates well in person with a tight-knit pod and client stakeholders. Curious about the frontier — keeps up with new models, frameworks and techniques.

What’s in it for YOU at Quantiphi?

Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data and cloud technologies while continuously upskilling. If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!

Company Culture and Values

We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realise transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family. Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional and personal lives.

Thank you for your interest in Quantiphi!

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