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Machine Learning Engineer Opt Jobs in Secaucus, NJ

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

... Machine learning models and data ingestion pipelines. • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models. • ...

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity ...

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

... Machine learning models and data ingestion pipelines. • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models. • ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$114K - $157K/yr

SageSure is a leader in catastrophe-exposed property insurance, seeking a Senior Machine Learning Engineer to optimize orchestration processes and ensure efficient model deployment. The role involves ...

... machine learning. * Proficiency in AWS services, including Amazon SageMaker and Amazon Bedrock. * Strong programming skills in Python, Java, or other relevant languages. * Familiarity with cloud ...

... machine learning. * Proficiency in AWS services, including Amazon SageMaker and Amazon Bedrock. * Strong programming skills in Python, Java, or other relevant languages. * Familiarity with cloud ...

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Machine Learning Engineer

Manhattan, NY · On-site

$145K - $180K/yr

The ML Engineer is a new role within the AP Engineering organization, responsible for shaping how we build and scale machine learning systems at AP, helping to lay the foundation for our machine ...

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

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Machine Learning Engineer Opt information

See Secaucus, NJ salary details

$32K

$130.9K

$196.7K

How much do machine learning engineer opt jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning engineer opt in Secaucus, NJ is $130,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $157,600.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Secaucus, NJ? For Machine Learning Engineer Opt jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Secaucus, NJ look for? The top searched job categories for Machine Learning Engineer Opt jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Machine Learning Engineer Opt jobs? Cities near Secaucus, NJ with the most Machine Learning Engineer Opt job openings:
Infographic showing various Machine Learning Engineer Opt job openings in Secaucus, NJ as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, 1% Temporary, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $130,917 per year, or $62.9 per hour.

Senior Machine Learning Engineer

PROPRIUS

New York, NY

$114K - $157K/yr

Full-time

Posted 11 days ago


Job description

Sr. Machine Learning Engineer

Location: New York, NY

Sponsorship: Yes

Relocation: Yes

Industry: Machine Learning

A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry leader in many different facets, such as: apps, games, devices, applications and digital experiences across; online education, healthcare, gaming, robotics, experiential design, market research, automotive, retail, human resources, training and coaching, media and advertising, video communication, and in wearables and devices.

Originally a facial recognition company, this organization is constantly innovating and now looking for a Lead Machine Learning Engineer to expand their capacity to next generation vehicles which can act on both visual and audio cues.

When successful, your research will be deployed into millions of vehicles worldwide.

This is an opportunity to join a well-funded, highly regarded team who are partnered with and backed by world-leading tech giants. This company already has many existing clients, patented technology, and rapid growth plans.

For this role you will need;

  • PhD or MS in Computer Science and Electrical Engineering
  • Expert level coding skills (Python, C++ at minimum)
  • 3+ years’ experience working with machine learning in embedded applications: model quantization, fixed point neural networks (CNN and RNN)
  • Excellent research and problem-solving skills along with communication and the ability to flourish in a fast-paced environment.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.