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Machine Learning Engineer Jobs in Secaucus, NJ (NOW HIRING)

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/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 ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112.10K - $147.70K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Jane Street

Machine Learning Engineer

New York, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112.10K - $147.70K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112.10K - $147.70K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ

$127.90K - $168.60K/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 ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114.30K - $157K/yr

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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Secaucus, NJ

Machine Learning Engineer information

See Secaucus, NJ salary details

$32K

$130.9K

$196.7K

How much do machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning engineer 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 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 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 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 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 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.

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.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Secaucus, NJ? The most popular types of Machine Learning Engineer jobs in Secaucus, NJ are:
What are popular job titles related to Machine Learning Engineer jobs in Secaucus, NJ? For Machine Learning Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Secaucus, NJ look for? The top searched job categories for Machine Learning Engineer jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Machine Learning Engineer jobs? Cities near Secaucus, NJ with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

WITHIN

New York, NY • Hybrid

$90.90K - $254.10K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

About the Role: 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 focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission.

Responsibilities include but are not limited to;

  • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health.
  • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
  • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.
  • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.
  • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs.
  • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.
  • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.

Requirements

  • Master's or Ph.D. in a related field with a strong academic background.
  • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.
  • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.
  • Proficiency in data manipulation, feature engineering, and model evaluation.
  • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
  • Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
  • A passion for continuous learning and staying updated with the latest trends and technologies in data science.
  • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.
Required knowledge of:
  • Python
  • SQL
  • Cloud Platforms (GCP, AWS, Azure)
  • Data Warehouses (BigQuery, Snowflake, Redshift)
  • LLMs / AI APIs
  • Git / GitHub
Nice to have:
  • Data Transformation (dbt)
  • Semantic Layers (Cube, Looker, dbt Metrics)
  • TypeScript
  • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics.
  • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement.
  • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures.
  • Nice to have - familiarity with adstock/saturation curves and budget optimization

Our interview process includes, but is not limited to the following:

  • Excel and Typing Test

We offer a competitive salary and benefits based on ability level, including:

  • Unlimited vacation policy
  • Monthly Phone Stipend
  • Comprehensive Medical, Dental, and Vision insurance options
  • 401(K) plan with matching
  • Dog friendly office
  • Hybrid work opportunity
  • Professional Development Program
  • Bonus Perk - Seamless allowance

Total compensation based on education, experience, and skills level ($90,900-$254,100)

  • Level 1 - Possesses essential capabilities

    • $90,900-$123,540

  • Level 2 - Possesses developing capabilities

    • $123,540-$156,180

  • Level 3 - Possesses notable capabilities.

    • $156,180-$188,820

  • Level 4 - Possesses strong capabilities.

    • $188,820-$221,460

  • Level 5 - Possesses advanced capabilities.

    • $221,460-$254,100

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