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Executive Full Stack Machine Learning Engineer Jobs in Irvington, NJ

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join our team. You will own the end‑to‑end ML lifecycle, from dataset creation and foundational ...

Check out this blog from our CEO on how WireScreen traced DeepSeek's origins back to 2023--well before it went mainstream in 2025. About The Role: As a Machine Learning Engineer at WireScreen, you ...

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Lead Machine Learning Engineer

Manhattan, NY · On-site

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... with full-stack framework (e.g, Node.js, React) Experience with distributed modeling Education ...

This role offers the opportunity to work alongside experienced ML engineers and data scientists, gaining hands-on experience with the full machine learning lifecycle--from data preparation and model ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team . The ideal ... Work closely with data scientists and machine learning engineers to integrate cutting-edge AI ...

Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber ... We are looking for a machine learning engineer to design, build, experiment and optimize Shaped ...

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber ... We are looking for a machine learning engineer to design, build, experiment and optimize Shaped ...

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team . The ideal ... Work closely with data scientists and machine learning engineers to integrate cutting-edge AI ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team . The ideal ... Work closely with data scientists and machine learning engineers to integrate cutting-edge AI ...

As a Zenlaw Full-Stack Engineer you will: * Develop new features working with cross-functional ... Python (machine learning, Natural Language Processing, string manipulation) You care about:

Showing results 41-60

Executive Full Stack Machine Learning Engineer information

See Irvington, NJ salary details

$45.4K

$137.5K

$194.3K

How much do executive full stack machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for executive full stack machine learning engineer in Irvington, NJ is $137,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $161,200.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Irvington, NJ?

For Executive Full Stack Machine Learning Engineer jobs in Irvington, NJ, the most frequently searched job titles are:

What cities near Irvington, NJ are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities near Irvington, NJ with the most Executive Full Stack Machine Learning Engineer job openings:

Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Irvington, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,469 per year, or $66.1 per hour.

Machine Learning Engineer

ExaCare AI

Manhattan, NY • On-site

$110 - $150/hr

Other

Re-posted 11 days ago


Job description

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join our team. You will own the end‑to‑end ML lifecycle, from dataset creation and foundational research to building and deploying production‑grade models. If you thrive in an environment where you can quickly iterate, experiment with cutting‑edge techniques, and see your work make a tangible impact, this is the role for you.

What You'll Do
  • Novel Solution Development: Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
  • Rapid Prototyping & Iteration: Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
  • Experiment Tracking: Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases.
  • Model Deployment: Deploy models into production environments using CI/CD practices and model serving frameworks.
  • Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
  • Advanced Model Optimization: Apply modern techniques to optimize models for inference speed, memory footprint, and cost. This includes quantization, pruning, and knowledge distillation.
  • Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build high‑quality, robust training data.
  • Advanced Architectures: Stay current with and apply state‑of‑the‑art techniques, especially relating to Large Language Models (LLMs).
What You'll Bring
  • Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
  • Expert‑level proficiency in Python.
  • Experience with modern deep learning frameworks, such as PyTorch.
  • Demonstrable experience with systematic hyperparameter searching and optimization frameworks (e.g., Optuna, Ray Tune).
  • Exceptional organizational skills, with a strong emphasis on reproducible research and methodical experiment tracking.
  • Direct experience with LLMs, including fine‑tuning, prompt engineering, RAG, and efficient inference.
  • Practical experience implementing model optimization techniques like quantization (e.g., bitsandbytes) and pruning.
  • Experience in designing and curating novel datasets from scratch.
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
Bonus Points (Preferred Qualifications)
  • Familiarity with advanced model architectures like Transformers and Mixtures of Experts (MoE).
  • Contributions to open‑source ML projects or a portfolio of personal projects demonstrating a passion for the field.
  • Strong, hands‑on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).

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