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Remote Injection Molding Process Engineer Jobs in Washington, DC

Berriehill Research

Staff Engineer

Indian Head, MD · On-site +1

$87K - $115K/yr

This position does not allow for a remote or hybrid work schedule. Employment is contingent upon ... Experience with process safety and material handling ensuring compliance with regulatory ...

kgs

RPA Lead (REMOTE)

Arlington, VA · Remote

This is a remote opportunity. We offer competitive compensation and an extraordinary benefits ... Provide technical guidance and troubleshooting support to automation developers and end users

Kobie Marketing

AI Engineer

Annapolis, MD · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... injection protections, and hallucination mitigation * You own what you ship: prototype, deploy ...

Kobie Marketing

AI Engineer

Annapolis, MD · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... injection protections, and hallucination mitigation * You own what you ship: prototype, deploy ...

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All JobsInjection Molding Process Engineer JobsRemote Injection Molding Process Engineer JobsRemote Injection Molding Process Engineer Jobs in Washington, DC

Remote Injection Molding Process Engineer information

See Washington, DC salary details

$56.1K

$104.2K

$161.4K

How much do remote injection molding process engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote injection molding process engineer in Washington, DC is $104,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $116,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Injection Molding Process Engineer vs Remote Manufacturing Engineer?

AspectRemote Injection Molding Process Engineer
Primary FocusDesign, optimize, and troubleshoot injection molding processes for plastic parts remotely
CertificationsPlastic injection molding certifications, process engineering credentials
Work EnvironmentManufacturing facilities, labs, or remote collaboration with on-site teams
Industry UsagePlastic manufacturing, automotive, consumer goods

Remote Injection Molding Process Engineers specialize in managing injection molding processes remotely, focusing on process optimization and troubleshooting. In contrast, Remote Manufacturing Engineers have a broader scope, overseeing various manufacturing processes. Both roles require similar certifications and often work in related industries, but their core responsibilities differ in process specialization versus overall manufacturing management.

What are the most commonly searched types of Injection Molding Process Engineer jobs in Washington, DC? The most popular types of Injection Molding Process Engineer jobs in Washington, DC are:
What are popular job titles related to Remote Injection Molding Process Engineer jobs in Washington, DC? For Remote Injection Molding Process Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Injection Molding Process Engineer jobs in Washington, DC look for? The top searched job categories for Remote Injection Molding Process Engineer jobs in Washington, DC are:
Remote Injection Molding Process Engineer jobs near you
Infographic showing various Remote Injection Molding Process Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $104,219 per year, or $50.1 per hour.

Machine Learning Engineer - United States - Remote

AHU Technologies Inc

Washington, DC • Remote

$150K - $300K/yr

Full-time

Posted 6 days ago

New

Job description

Job Title: Senior Machine Learning Engineer
Location: United States (Remote)
JD in One Line

Own recommendation, search, ranking, retrieval, and discovery for a consumer content ecosystem.
What You Will Own

  •  Build recommendation and search across feed, discovery, search, and content continuation. 
  •  Own retrieval and ranking systems, including candidate generation, embeddings, two-tower models, feature engineering, and serving quality. 
  •  Design, launch, and analyze recommendation and search experiments. 
Requirements

  •  5+ years of industry experience building production ML systems with senior-level ownership. 
  •  Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. 
  •  Experience working on consumer applications, entertainment, social media, gaming, creator platforms, or other engagement-driven products. 
  •  Strong knowledge of two-tower models, embedding retrieval, candidate generation, ranking systems, and online/offline evaluation. 
Hard Filters

  •  5+ years of industry experience building production ML systems with senior-level ownership. 
  •  Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. 
  •  Experience with consumer applications, entertainment, social, gaming, creator, or engagement-driven products. 
  •  Expertise in two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation. 
  •  Fluency in Chinese (Mandarin) is required. 
Strong Fit

  •  Built recommendation and search systems across feed, discovery, search, and content continuation. 
  •  Owned retrieval and ranking systems, including candidate generation, embeddings, two-tower models, features, and serving quality. 
  •  Designed, launched, and analyzed recommendation/search experiments. 
Bonus Signals

  •  5+ years of production ML experience. 
  •  Strong background in recommendation systems. 
  •  Experience with search ranking. 
  •  Experience with embedding retrieval. 
Anti-Signals

  •  Cannot demonstrate core Senior Machine Learning Engineer experience focused on recommendation systems. 
  •  Not comfortable with the specified remote work arrangement. 
  •  Primarily coordination-focused with limited technical ownership or no shipped production examples. 
Interview Process

  •  Initial recruiter screen. 
  •  Senior Machine Learning Engineer (Recommendation) technical/product deep dive. 
  •  Team/founder conversation. 
Culture

  •  AI-native, fast-paced startup environment with strong ownership expectations. 
  •  Focus on building consumer AI products at the intersection of AI, social, mobile, and interactive entertainment. 
  •  Looking for engineers who ship quickly, learn from users, and take end-to-end ownership.
 

This is a remote position.