2

Additive Manufacturing Engineer Remote Jobs in River Edge, NJ

Senior Machine Learning Engineer (Remote)

New York, NY ยท On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

Data Analyst - Automotive

New York, NY ยท Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Data Analyst - Automotive

New York, NY ยท Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ...

Quality Assurance Engineer

Mahwah, NJ ยท Remote

$32 - $37/hr

Hybrid - onsite and remote Overview Advance your quality engineering career with a global medical ... Collaborate with Manufacturing Engineering, Sterility Assurance, and Design Teams to ensure quality ...

Quality Assurance Engineer

Mahwah, NJ ยท Remote

$32 - $37/hr

Hybrid - onsite and remote Overview Advance your quality engineering career with a global medical ... Collaborate with Manufacturing Engineering, Sterility Assurance, and Design Teams to ensure quality ...

Showing results 21-40

Additive Manufacturing Engineer Remote information

See River Edge, NJ salary details

$41.8K

$95.2K

$159.1K

How much do additive manufacturing engineer remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for additive manufacturing engineer remote in River Edge, NJ is $95,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $114,800.00 per year, depending on experience, location, and employer.

What does an additive manufacturing engineer do when working remotely?

An Additive Manufacturing Engineer working remotely is responsible for designing, developing, and optimizing 3D printing processes and products from a remote location. They collaborate with teams using digital tools to create prototypes, analyze data, and troubleshoot issues related to additive manufacturing. Remote engineers may also oversee workflow, ensure quality standards are met, and support the integration of new technologies, all while communicating with clients and colleagues virtually.

What are the key skills and qualifications needed to thrive as an additive manufacturing engineer remote?

To thrive as an Additive Manufacturing Engineer (Remote), you need a strong background in engineering principles, 3D printing technologies, and materials science, usually supported by a relevant engineering degree. Proficiency with CAD software, simulation tools, and experience with additive manufacturing systems such as FDM, SLS, or SLA, as well as familiarity with industry standards or certifications like ASTM or ISO, is essential. Strong problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for remote collaboration and project management. These competencies ensure the engineer can design, optimize, and deliver high-quality parts while collaborating efficiently with distributed teams.

What are some common challenges faced by remote additive manufacturing engineers, and how can they be addressed?

Remote Additive Manufacturing Engineers often encounter challenges related to limited hands-on access to equipment and real-time collaboration with on-site teams. To overcome these obstacles, it's important to establish clear communication channels, utilize remote monitoring tools, and coordinate closely with local operators for prototyping and testing. Regular virtual meetings and detailed documentation help ensure project timelines stay on track and technical issues are resolved efficiently. Embracing digital collaboration platforms and maintaining flexibility can significantly enhance productivity and team integration.

What is the difference between Additive Manufacturing Engineer Remote vs Additive Manufacturing Technician?

AspectAdditive Manufacturing Engineer RemoteAdditive Manufacturing Technician
CredentialsBachelor's or higher in engineering, certifications like AM-specific trainingTechnical diploma or associate degree, hands-on training
Work EnvironmentRemote office, design and development focusOn-site manufacturing floor, equipment operation
Industry UsageDesign, process optimization, project managementMachine setup, maintenance, part fabrication

The main difference is that Additive Manufacturing Engineers Remote focus on designing and optimizing additive processes remotely, while Additive Manufacturing Technicians work hands-on with equipment on-site. Engineers typically require higher education and perform planning tasks, whereas Technicians handle daily machine operations and maintenance.

What cities near River Edge, NJ are hiring for Additive Manufacturing Engineer Remote jobs?

Cities near River Edge, NJ with the most Additive Manufacturing Engineer Remote job openings:

Infographic showing various Additive Manufacturing Engineer Remote job openings in River Edge, NJ as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $95,192 per year, or $45.8 per hour.

Senior Machine Learning Engineer (Remote)

Zencastr

New York, NY โ€ข On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 2 days ago


Job description

The Role
We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.
We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.
You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction.
What You'll Do..
  • Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services.
  • Drive forward audio and text capabilities within the ML team
  • Work with some of the brightest minds in signal processing

If This Describes You..
  • A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • 5 + years experience in Python
  • 3+ years experience in machine learning research, with a focus on speech
  • 3+ years experience training or deploying neural networks
  • Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
  • Experience with building and operating production-ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.

Bonus points if you have:
  • Publications in peer-reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus

How to apply:
Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e
We are flexible! For the right candidate we ask: What do you need to do your best work?