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Machine Learning Engineer Jobs in Hackensack, NJ

DraftKings

Senior Machine Learning Engineer

New York, NY

$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 ...

Attentive

Senior Machine Learning Engineer

New York, NY

$244K - $320K/yr

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 ...

SageSure

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 ...

Capgemini

Machine Learning Engineer

New York, NY · On-site

... 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 ...

SageSure

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 ...

Associated Press

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 ...

WITHIN

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 ...

Associated Press

Machine Learning Engineer

Manhattan, NY · Hybrid

$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 ...

10a Labs

Machine Learning Engineer

New York, NY · Remote

$150K - $250K/yr

At least 3-8+ years of professional working experience as a Machine Learning engineer, building, owning and deploying machine learning systems in production. * Strong foundation in traditional ML ...

WITHIN

Machine Learning Engineer

New York, NY · On-site

$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 ...

Geico

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

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Machine Learning Engineer information

See Hackensack, NJ salary details

$34.4K

$140.4K

$211K

How much do machine learning engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning engineer in Hackensack, NJ is $140,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $169,000.00 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 and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Hackensack, NJ? The most popular types of Machine Learning Engineer jobs in Hackensack, NJ are:
What are popular job titles related to Machine Learning Engineer jobs in Hackensack, NJ? For Machine Learning Engineer jobs in Hackensack, NJ, the most frequently searched job titles are:
What cities near Hackensack, NJ are hiring for Machine Learning Engineer jobs? Cities near Hackensack, NJ with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Hackensack, NJ as of May 2026, with employment types broken down into 1% Internship, 56% Full Time, 41% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $140,442 per year, or $67.5 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

DraftKings, Inc.

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 6 days ago

DraftKings rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

4th of 15 rated gambling companies

Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
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 challenges across the business. You'll turn cutting-edge machine learning research into scalable, production-ready systems that power critical decisions and customer experiences. Working at the intersection of data, engineering, and experimentation, you'll shape high-impact solutions from concept to deployment while influencing best practices across the organization.
What you'll do as a Senior Machine Learning Engineer
  • Design and refine scalable pipelines for training, evaluating, and deploying machine learning models across diverse use cases.
  • Build rigorous testing and statistical validation frameworks to measure model performance and ensure reliability in production.
  • Optimize models for production readiness, improving computational efficiency, latency, and resource utilization.
  • Implement real-time monitoring systems to detect data drift, model decay, and performance degradation, proactively maintaining model accuracy.
  • Partner with cross-functional teammates to design, build, and deploy end-to-end machine learning applications that scale with business growth.
  • Champion machine learning best practices, including responsible and ethical AI development, documentation, and reproducibility.
  • Identify and lead technical initiatives that elevate platform capabilities and advance the team's machine learning standards.

What you'll bring
  • At least 3 years of software engineering experience designing, building, and operating machine learning and artificial intelligence systems in production environments.
  • A strong foundation in machine learning and statistics, with proven experience applying them to solve complex, real-world problems.
  • Hands-on experience managing the full machine learning lifecycle, from data preparation and feature engineering to deployment and monitoring.
  • Expertise in Python, along with experience in additional languages or tools that support scalable machine learning systems.
  • Experience working with modern platform and infrastructure technologies such as Databricks, Kubernetes, and Terraform.
  • Strong communication and leadership skills, with the ability to influence stakeholders and collaborate effectively across teams.
  • A passion for mentoring teammates, sharing knowledge, and fostering technical growth within the team.
  • The ability to work autonomously, proactively identifying opportunities and driving technical improvements from idea to execution.

Join Our Team
We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 134,400.00 USD - 168,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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