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Model Train Jobs in New York (NOW HIRING)

Smile Train

Chief Impact Officer

Manhattan, NY

We train and support doctors and medical professionals to provide our patients with free, life-changing, comprehensive treatment. Our sustainable model has allowed us to reach more than 2 million ...

Smile Train

Chief Impact Officer

Manhattan, NY · On-site

$220K - $250K/yr

We train and support doctors and medical professionals to provide our patients with free, life-changing, comprehensive treatment. Our sustainable model has allowed us to reach more than 2 million ...

Smile Train

Chief Impact Officer

Manhattan, NY · On-site

We train and support doctors and medical professionals to provide our patients with free, life-changing, comprehensive treatment. Our sustainable model has allowed us to reach more than 2 million ...

Genesis10

Release Train Engineer

Manhattan, NY · Hybrid

$181K - $220K/yr

Genesis10 is seeking a Release Train Engineer for a direct hire position with a financial services ... Familiarity with Product Operating Models and modern product management practices. If you have the ...

Target

Specialty Sales Team Leader

Westbury, NY

$26 - $44.20/hr

Model, train and coachteam memberexpectations to deliveronour GUESTservicemodelculture. * Demonstrate inclusivity by valuing diverse voices and approaches, being authentic and respectful, and ...

Medal

World Model / Action Policy Researcher

New York, NY · On-site

$350K - $450K/yr

Experience with world models and predictive control - you understand how to train models that simulate dynamics and plan actions in learned environments. * Proficiency in reinforcement learning (RL ...

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All JobsModel Train JobsModel Train Jobs in New York

Model Train information

See New York salary details

$11

$34

$73

How much do model train jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for model train in New York is $34.32, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $42.88 per hour, depending on experience, location, and employer.

What are some common challenges faced by model train technicians, and how can they be addressed?

Model train technicians often encounter challenges such as troubleshooting complex electrical systems, maintaining intricate mechanical components, and ensuring smooth operation of tracks and locomotives. Staying organized and methodical is key, as attention to detail is crucial when working with small parts and wiring. Regularly updating one's knowledge of new technologies and repair techniques also helps in effectively addressing technical issues. Collaboration with other hobbyists or professionals can provide valuable insights and support when tackling particularly tricky repairs.

What are model trains?

Model trains are miniature representations of real trains, typically built to scale and used for hobby, educational, or display purposes. They can range from simple toy trains to highly detailed replicas that include functioning lights, sounds, and realistic scenery. Enthusiasts often create elaborate layouts with tracks, buildings, landscapes, and operational controls. Model trains come in various scales and gauges, such as HO, N, and O scale. This hobby appeals to people of all ages and skill levels, offering opportunities for creativity, engineering, and history exploration.

What are the key skills and qualifications needed to thrive as a Model Train Engineer, and why are they important?

To thrive as a Model Train Engineer, you need a solid understanding of mechanical engineering, electrical systems, and model railroading, often supported by relevant technical training or a degree in engineering. Familiarity with tools like CAD software, DCC (Digital Command Control) systems, and track layout design programs is essential. Attention to detail, problem-solving abilities, and creativity set top professionals apart in this field. These skills are crucial for designing, building, and maintaining intricate and reliable model train systems that deliver realistic and enjoyable experiences.

What is the difference between Model Train vs Model Railroader?

AspectModel TrainModel Railroader
CredentialsHobbyist knowledge, sometimes certifications for advanced techniquesHobbyist or professional skills, certifications less common
Work EnvironmentHome workshops, hobby clubsHome, clubs, or small-scale manufacturing
Industry UsagePrimarily hobby and recreationHobby, small-scale manufacturing, or restoration

Model Train refers to the miniature trains used in hobbies, while Model Railroader is a person who designs, builds, and maintains model train layouts. Both share similar skills and environments but differ in scope—Model Trains are the models themselves, whereas Model Railroader is the hobbyist or professional involved in creating and operating these models.

What are popular job titles related to Model Train jobs in New York? For Model Train jobs in New York, the most frequently searched job titles are:
What job categories do people searching Model Train jobs in New York look for? The top searched job categories for Model Train jobs in New York are:
Model Train jobs near you

Research Scientist, Video Understanding & World Models

Mecka AI

New York, NY • On-site

$200K - $250K/yr

Full-time

Posted 8 days ago

Job description

About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems. Our work sits directly between research, data, and real-world execution - where model performance is dictated by data quality.
Our Mission
Robotics will become the largest industry in human history - larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data.
Mecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI - the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time.
Our Culture
  • Excellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us.
  • Highly technical. We reason from first principles, not by analogy. The best argument wins - regardless of title or tenure.
  • Truth-seeking. We are relentlessly honest with ourselves and each other. We chase reality - measured, not assumed - and kill our own bad ideas fast.
  • Maniacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate.
  • Extreme ownership. You own outcomes end-to-end - no hand-offs, no excuses, no waiting for permission.
  • Hardcore. This is a high-intensity environment for people who want to do the defining work of their lives.
The Role
We are looking for a Research Scientist, Video Understanding to own Mecka's video understanding agenda end-to-end: train large-scale video representation and video-language models on our egocentric + stereo corpus, and turn the resulting checkpoints into production signals the rest of the stack ships on.
This role is focused on large model training, video encoders, video-language models, VLMs/VLAs, and temporal representation learning on real-world robotics data.
What You'll Work On
Large-Scale Training & Architecture
  • Own model architecture and training strategy across Mecka's task families (manipulation, locomotion, daily activity, long-horizon behavior).
  • Run self-supervised and multimodal pretraining (VideoMAE / VJEPA / VideoPrism / InternVideo-class) with rigorous evals and clean ablations.
Video-Language & Multimodal Modeling
  • Train and fine-tune video encoders and video-language models (temporal transformers, joint-embedding models, contrastive objectives, masked modeling, instruction/video alignment).
  • Incorporate useful priors (pose, depth, camera motion, optical flow) when it improves representation quality.
Research → Production Signals
  • Turn checkpoints into usable artifacts: embeddings and model outputs that downstream systems can reliably consume (retrieval, labeling, QA, analytics).
  • Build a disciplined training + eval workflow with regression tracking and reproducible runs.
Who You Are
Required Background
  • Deep experience training large models in PyTorch (or equivalent), including multi-GPU or distributed training.
  • Strong understanding of modern video representation learning and/or multimodal modeling.
  • Ability to run rigorous experiments and communicate results clearly.

Strong Signals:
  • Experience with video VLMs / VLA-adjacent systems (VideoCLIP, InstructBLIP-Video, LLaVA-Video-class).
  • Experience with egocentric / embodied datasets (Ego4D, EgoExo4D, EPIC-Kitchens, Something-Something).
  • Strong software engineering discipline: you write research code that can be shipped.
Why This Role
  • Work on a domain - egocentric embodied video - where data is scarce everywhere except here.
  • Own a research agenda that directly feeds production systems and product outcomes.

Apply