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Associate Full Stack Machine Learning Engineer Jobs in Paterson, NJ

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

Job Title: Full Stack Developer Location: Jersey City, NJ (07302) Within 50 Miles Salary Range ... of Experience in Machine learning(20%) * Around 2-3 years of experience in Banking Domain (20 ...

Machine Learning Engineer

Manhattan, NY · On-site +1

$170K - $212K/yr

Machine Learning Engineer The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Engineer

Newark, NJ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Full Stack Engineer

Yonkers, NY · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Engineer

Paterson, NJ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Engineer

New York, NY · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

This is an opportunity for a Contract Machine Learning Engineer to work alongside experienced Engineers, Data Scientists, and Platform teams in a fast-paced and collaborative environment. Salary ...

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Full Stack Engineer

Elizabeth, NJ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Machine Learning Engineer

Manhattan, NY · On-site

$205K - $316.40K/yr

Machine Learning Engineer At Quizlet, our mission is to help every learner achieve their outcomes ... You'll work across the full lifecycle, from modeling and experimentation to production integration ...

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Associate Full Stack Machine Learning Engineer information

See Paterson, NJ salary details

$45.3K

$137.1K

$193.8K

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

As of Jun 2, 2026, the average yearly pay for associate full stack machine learning engineer in Paterson, NJ is $137,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $160,800.00 per year, depending on experience, location, and employer.

Machine Learning Engineer

Pivotal Solutions Inc

Manhattan, NY • On-site, Remote

Other

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.


Job description

Job Description
Job Overview:
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and business stakeholders to implement advanced machine learning solutions and drive innovation within the company.
Key Responsibilities:
  • Design and develop scalable machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Analyze large datasets to extract actionable insights and identify patterns.
  • Tune and optimize machine learning models for performance and accuracy.
  • Stay current with the latest advancements in AI and machine learning technologies.
  • Work with software development teams to ensure models are deployed efficiently and effectively.
  • Develop and maintain documentation for models, algorithms, and tools used.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
  • Proven experience in machine learning, data science, and AI technologies.
  • Proficiency in Python, R, or other programming languages used in machine learning.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of data structures, algorithms, and statistical modeling.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
  • Excellent problem-solving skills and the ability to work independently or in a team.
  • Strong communication skills to explain technical concepts to non-technical stakeholders.
Preferred:
  • Experience with deep learning techniques and natural language processing (NLP).
  • Prior experience in deploying machine learning models in a production environment.
  • Familiarity with DevOps practices and tools for machine learning pipelines (e.g., Docker, Kubernetes).
Benefits:
  • Competitive salary and performance bonuses.
  • Health, dental, and vision insurance.
  • Flexible working hours and remote work options.
  • Professional development opportunities.