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Model Based System Engineer Jobs in Red Bank, NJ

Programming fluency in Python and deep learning frameworks such as PyTorch. * Strong experimental ... systems. * Gaming & simulation passion: Interest in interactive environments, physics-based ...

Software Engineer, AI

New York, NY · On-site +1

$135K - $220K/yr

... models. * Improve: Our internal tooling and infrastructure for classification, tagging ... Architect and scale systems for automated bookkeeping and analysis using hybrid AI + rule-based ...

Senior Systems Engineer

New York, NY · On-site

$114K - $156K/yr

The Senior Systems Engineer is responsible for the maintenance, configuration, and reliable ... Familiarity with system security practices. * Cloud-based computing : Experience with cloud ...

Senior Systems Engineer

New York, NY · Hybrid

$114K - $156K/yr

The Senior Systems Engineer is responsible for the maintenance, configuration, and reliable ... Familiarity with system security practices. * Cloud-based computing : Experience with cloud ...

Senior Systems Engineer

New York, NY · On-site

$114K - $156K/yr

The Senior Systems Engineer is responsible for the maintenance, configuration, and reliable ... Familiarity with system security practices. * Cloud-based computing : Experience with cloud ...

AI/ML Engineer, Lead

New York, NY · On-site

$210K - $290K/yr

Design and improve user-facing model-based experiences, including agentic control, conversational ... Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on ...

Model Behavior Engineer

New York, NY · On-site

$98K - $140K/yr

From building a business's system of record to making and managing AI agents to automating away the ... Help shape Notion's model strategy based on real data. * Drive quality priorities - Work embedded ...

This work spans distributed systems, model serving, and developer experience. You'll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping ...

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Showing results 1-20

Model Based System Engineer information

See Red Bank, NJ salary details

$54.9K

$130.6K

$171.4K

How much do model based system engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for model based system engineer in Red Bank, NJ is $130,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $161,100.00 per year, depending on experience, location, and employer.

What is the difference between Model Based System Engineer vs Systems Engineer?

AspectModel Based System EngineerSystems Engineer
CredentialsTypically requires systems engineering certifications, knowledge of modeling toolsOften holds a bachelor's or master's in engineering, with certifications like INCOSE
Work EnvironmentFocuses on system modeling, simulation, and design using specialized toolsInvolves system integration, testing, and requirements management
Industry UsageCommon in aerospace, defense, automotive, and complex systems industriesWidely used across IT, manufacturing, and engineering sectors

While both roles require strong engineering backgrounds, Model Based System Engineers specialize in creating and analyzing system models to optimize design, whereas Systems Engineers focus on integrating and managing entire systems throughout their lifecycle.

What is a Model Based System Engineer?

A Model Based System Engineer (MBSE) is a professional who uses modeling techniques and tools to design, analyze, and manage complex systems throughout their lifecycle. Instead of relying solely on traditional document-based methods, MBSE professionals create digital models that represent the structure, behavior, and requirements of systems. This approach helps improve understanding, communication, and traceability among stakeholders, leading to more efficient and reliable system development. MBSE is commonly used in industries like aerospace, automotive, defense, and healthcare to manage complex engineering projects.

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

To thrive as a Model Based System Engineer, you need a solid background in systems engineering principles, requirements analysis, and modeling languages like SysML, often supported by a degree in engineering or computer science. Proficiency with modeling tools such as IBM Rhapsody, MagicDraw, or MATLAB/Simulink, and familiarity with systems engineering standards like INCOSE certification, are typically required. Strong analytical thinking, effective communication, and problem-solving abilities are key soft skills in this role. These skills ensure efficient system design, clear stakeholder communication, and successful integration of complex systems in multidisciplinary environments.

How does a Model Based System Engineer typically collaborate with cross-functional teams during a project lifecycle?

Model Based System Engineers work closely with multidisciplinary teams, including software developers, hardware engineers, and project managers, to ensure system models accurately reflect requirements and constraints. They often facilitate communication by translating complex system behaviors into visual models that are easily understood by all stakeholders. Throughout the project lifecycle, they participate in design reviews, update models based on team feedback, and help validate that the final system meets its intended functionality. This collaborative approach helps reduce misunderstandings and streamlines the integration of various subsystems.
What cities near Red Bank, NJ are hiring for Model Based System Engineer jobs? Cities near Red Bank, NJ with the most Model Based System Engineer job openings:
World Model / Action Policy Researcher

World Model / Action Policy Researcher

Medal

New York, NY • On-site

$350K - $450K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

The Company
General Intuition
We are the frontier research lab dedicated to building foundation models for environments that require deep spatial and temporal reasoning. For the past year, we've been pushing the forefront of AI across agents capable of navigating space and time, world models that provide training environments for those agents, and video understanding models with a focus on transfer to the real world.
We raised a seed round of $133M from General Catalyst and Khosla to discover the next generation of intelligence.
What We're Looking For
  • 5+ years of experience in deep learning research or reinforcement learning, with a focus on embodied agents or simulation environments.
  • Strong foundation in representation learning and generative modeling, particularly using architectures such as diffusion models, VAEs, and transformers applied to video.
  • 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, model-based RL, or imitation learning) and the ability to design and evaluate policy networks.
  • Programming fluency in Python and deep learning frameworks such as PyTorch.
  • Strong experimental skills - comfort with large-scale training, evaluation pipelines, and managing complex datasets or simulations.
  • Publications or open-source contributions in areas like world modeling, simulation learning, or agent policies are a strong plus.
  • In-person: Looking to hire in NYC. 5 days in the office.
  • Ownership & scientific rigor: You see ideas through from concept to proof to deployment. You write clean, reproducible code and maintain a high bar for experimental validity.
  • Performance and scaling mindset: You care about how research translates into production systems, with an understanding of compute efficiency, distributed training, and data bottlenecks.
  • Curiosity-driven and result-oriented: You're excited by open-ended problems, but you also know how to define measurable goals and ship impactful systems.
  • Gaming & simulation passion: Interest in interactive environments, physics-based simulations, or gaming AI. Experience with Unity, Unreal Engine, or custom simulators is a plus.

Our Research Stack
  • Core Research: Python, PyTorch, NumPy, Triton, and CUDA
  • Backend & Infra: Kubernetes, GCP, and large-scale training clusters
  • Experimentation: We run continuous evaluation, A/B testing, and performance metrics tracking on our deployed models

Benefits
  • Competitive salary and meaningful equity
  • Comprehensive medical, dental, and vision coverage
  • 401(k)
  • Wellness and fitness perks including a Wellhub membership and mental health resources
  • Paid parental leave, fertility and maternal health benefits
  • Generous PTO policy
  • Daily meals and commuter benefits at our NYC HQ in Flatiron
  • Learning and development stipend

Benefits vary by country and employment type.