ZipRecruiter

Log In

1

Associate Machine Learning Government Jobs in Parsippany, NJ

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

We launched just three years ago and already have strong traction with top-tier government ... As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

... machine learning engineer to build the AI decision system that turns raw signals into trusted ... senior government officials, and executive protection units. What we learn there becomes the ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

... machine learning engineer to build the AI decision system that turns raw signals into trusted ... senior government officials, and executive protection units. What we learn there becomes the ...

J.P. Morgan

Lead Machine Learning Engineer-MLOps

New York, NY · On-site

$112K - $147K/yr

As Lead Machine Learning Engineer on the Recommendation Engine team, you'll build and maintain ... government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and ...

next page

Showing results 1-20

All JobsAssociate Machine Learning Government JobsAssociate Machine Learning Government Jobs in Parsippany, NJ

Associate Machine Learning Government information

See Parsippany, NJ salary details

$31.7K

$133.8K

$316.3K

How much do associate machine learning government jobs pay per year?

As of Aug 30, 2026, the average yearly pay for associate machine learning government in Parsippany, NJ is $133,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $203,100.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What job categories do people searching Associate Machine Learning Government jobs in Parsippany, NJ look for?

The top searched job categories for Associate Machine Learning Government jobs in Parsippany, NJ are:

Associate Machine Learning Government jobs near you
Infographic showing various Associate Machine Learning Government job openings in Parsippany, NJ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $133,816 per year, or $64.3 per hour.

Associate, Machine Learning Engineer

Manhattan, NY

Cantor Fitzgerald Securities
See more jobs at Cantor Fitzgerald Securitiesexternal

Full-time

Re-posted 14 days ago

Job description

We are seeking an early-career engineer to join our team and play a vital role in developing and enhancing AI-powered applications for our financial services business. The ideal candidate will have a solid foundation in software development, hands-on experience with modern AI tools, and a keen interest in understanding the behavior of language models in real-world applications. As an Associate, you will have the opportunity to work closely with our experienced engineers and contribute to the growth and success of our innovative AI initiatives.
Company overview: 

Built upon the foundation of innovative technology and exceptional talent, BGC is a pioneering global brokerage and financial technology company servicing the financial markets. We are agile and dynamic in our approach, delivering world-class products to our diverse customer base daily. Our Financial Services business provides a full range of trade execution and broker-dealer services. 

The benefit of BGC's integrated platform is that it gives customers flexibility and choice in price discovery, execution, and processing of their transactions, through voice, hybrid, or fully electronic brokerage options. In addition, our BGC Trader and BGC Market Data platforms offer financial technology solutions, market data and analytics related to financial instruments and markets.

Agency Notice:

BGC Group & affiliates do not accept agency resumes. Please do not forward resumes to our job alias, employees or any other company location. BGC Group & affiliates are not responsible for any fees related to unsolicited resumes. Please contact the Recruitment function for additional details. 
  • Bachelor's degree in a technical field (computer science, machine learning, mathematics, etc.) or equivalent practical experience.
  • Experience contributing to production-level software development, internships, research, or substantial personal projects.
  • Strong programming skills in Python, with a focus on writing clear, tested, and maintainable code.
  • Hands-on experience with web services, data integration, testing, logging, and monitoring.
  • Practical knowledge of building with LLMs and understanding common failure modes.
  • Ability to test, evaluate, and improve LLM-powered applications.
  • Grounding in machine learning, statistics, and experimental design, with a knack for technical documentation.
  • Excellent communication skills and a collaborative mindset.
  • Interest in applying AI responsibly in financial services.
  • Familiarity with agentic workflows, evaluation tools, and cloud deployment is a plus.

Compensation

  • Collaborate with a cross-functional team to build, evaluate, and improve AI-powered financial services applications.
  • Design and implement machine learning models and algorithms to solve complex business problems.
  • Work with large language models (LLMs) and understand their behavior and potential failure modes.
  • Conduct testing and evaluation of LLM-powered applications, analyzing failures and defining success metrics.
  • Apply machine learning, statistics, and experimental design principles to reason about model behavior.
  • Communicate effectively with product, engineering, and business partners to align on project goals.
  • Ensure responsible AI practices are followed, considering privacy, security, and appropriate automation.
  • Stay updated with the latest advancements in AI and machine learning technologies.
  • Document and present project progress and findings to stakeholders.
  • Provide support and mentorship to junior team members as needed.

Apply