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Associate Engineer Jobs in Wayne, NJ (NOW HIRING)

Associate IAM Engineer

Brooklyn, NY · On-site

$80K - $90K/yr

The Associate IAM Engineer supports the day-to-day operations of the identity and access management environment, with a primary focus on operational support, service continuity, and routine IAM ...

The Associate IAM Engineer supports the day-to-day operations of the identity and access management environment, with a primary focus on operational support, service continuity, and routine IAM ...

Associate Engineer, Manufacturing Engineering Employment Type: Contract Contract Duration: July 22, 2026 - January 21, 2028 Work Location: Mahwah, New Jersey Work Arrangement: Hybrid Position Summary ...

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and ...

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and ...

Showing results 41-60

Associate Engineer information

See Wayne, NJ salary details

$41.2K

$82K

$130.9K

How much do associate engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for associate engineer in Wayne, NJ is $81,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $94,200.00 per year, depending on experience, location, and employer.

What is an associate engineer?

Associate Engineers are entry-level engineering professionals who support more experienced engineers in designing, developing, testing, and maintaining various projects in their field. They typically work under supervision and assist with tasks such as drafting technical documents, conducting research, analyzing data, and ensuring compliance with industry standards. Associate Engineers often gain practical experience and training to advance to higher-level engineering roles as they develop their skills.

What is the difference between Associate Engineer vs Mechanical Engineer?

AspectAssociate EngineerMechanical Engineer
Required CredentialsBachelor's degree in engineering or related field; entry-level certificationsBachelor's degree in mechanical engineering; professional licensure (optional)
Work EnvironmentDesign, testing, and support roles in engineering teams; often in office or lab settingsDesign, analysis, and manufacturing in industrial or construction settings
Employer & Industry UsageEntry-level position across various industries like manufacturing, construction, and techDesign and development roles primarily in manufacturing, automotive, aerospace, and energy sectors

The main difference between an Associate Engineer and a Mechanical Engineer lies in experience and responsibilities. Associate Engineers are typically entry-level, focusing on supporting engineering tasks, while Mechanical Engineers have more experience and handle complex design and analysis responsibilities. Both roles require a bachelor's degree, but Mechanical Engineers often pursue licensure for advanced roles. The choice depends on your experience level and career goals within engineering fields.

What are some typical challenges associate engineers face when transitioning from academic projects to industry roles?

Associate Engineers often find the transition from academic projects to industry roles challenging due to differences in project scope, teamwork dynamics, and pace. In industry, you’ll likely work on larger, multi-disciplinary teams where effective communication and collaboration are crucial. Additionally, projects often have stricter deadlines and require adherence to established processes and standards, which may be less emphasized in academic settings. Embracing continuous learning and seeking mentorship from senior engineers can help ease this transition and set you up for success.

What are the key skills and qualifications needed to thrive as an associate engineer, and why are they important?

To thrive as an Associate Engineer, you need a solid grasp of engineering principles, problem-solving abilities, and a relevant bachelor's degree. Familiarity with CAD software, industry-specific tools, and basic project management systems is typically required. Strong teamwork, attention to detail, and effective communication set standout candidates apart. These skills and qualities are crucial for delivering accurate technical solutions and contributing effectively to engineering projects.
What are the most commonly searched types of Engineer jobs in Wayne, NJ? The most popular types of Engineer jobs in Wayne, NJ are:
What are popular job titles related to Associate Engineer jobs in Wayne, NJ? For Associate Engineer jobs in Wayne, NJ, the most frequently searched job titles are:
What cities near Wayne, NJ are hiring for Associate Engineer jobs? Cities near Wayne, NJ with the most Associate Engineer job openings:
Infographic showing various Associate Engineer job openings in Wayne, NJ as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $81,956 per year, or $39.4 per hour.

Associate, Machine Learning Engineer

Cantor Fitzgerald Securities

Manhattan, NY • On-site

Full-time

Re-posted 24 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.