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Rebar Engineer Jobs (NOW HIRING)

Senior ML Infrastructure Engineer

New York, NY · On-site

$118K - $161K/yr

Senior ML Infrastructure Engineer Background Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our ...

Background Rebar is building the next-generation operating system for commercial HVAC, electrical ... Work closely with product and engineering to help shape the roadmap * Serve as a thought partner to ...

Construction Accountant

Canton, OH · On-site

$60K - $70K/yr

... and engineers could use for structural floor slabs. Over the years, Whitacre has had offices in ... Today, we provide a coordinated package of rebar services, serving the Ohio, New York, Pennsylvania ...

... engineer, placer, and detailer. • Pre-plan all projects for critical path, scope, and schedules ... As a Rebar Detailer Trainee at Nucor, you'll use CAD and creativity to turn blueprints into real ...

Represent Nucor Rebar Fabrication & liaise between contractor, engineer, placer, and detailer. Pre-plan all projects for critical path, scope, and schedules. Review all changes and provide ...

Qualifications: • Bachelor's degree in Construction Management, Engineering, or related field preferred; equivalent work experience accepted. • Minimum three (3) years of experience in rebar ...

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Rebar Engineer information

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$57.5K

$103.7K

$154.5K

How much do rebar engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for rebar engineer in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Rebar Engineer position, and why are they important?

To excel as a Rebar Engineer, a solid background in civil or structural engineering, knowledge of reinforced concrete design, and a relevant engineering degree are crucial. Familiarity with specialized software such as AutoCAD, Revit, and industry standards like ACI or CRSI, along with any relevant certifications, is typically required. Strong attention to detail, effective communication, and problem-solving abilities are vital soft skills for coordinating with teams and managing complex project specifications. These skills ensure the safe, accurate, and efficient design, planning, and implementation of reinforcement within construction projects.

How much do rebar workers get paid?

Rebar workers, or rebar installers, typically earn an hourly wage ranging from $15 to $30, depending on experience, location, and union membership. Skilled rebar engineers or supervisors can earn higher salaries, often exceeding $60,000 annually. Wages may also include benefits such as health insurance and overtime pay for extended hours or demanding projects.

What is a Rebar Engineer job?

A Rebar Engineer is responsible for designing, detailing, and overseeing the installation of reinforced steel (rebar) in construction projects. They ensure that the rebar placement complies with structural drawings and building codes to provide the necessary strength and support for concrete structures. Their role includes creating reinforcement plans, performing structural calculations, and coordinating with architects, contractors, and construction teams. Rebar Engineers work on a variety of projects, including bridges, buildings, and infrastructure developments.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Senior roles requiring advanced skills, certifications, and extensive industry experience are typically associated with such high compensation levels.

What does a rebar engineer do?

A rebar engineer is responsible for designing, planning, and overseeing the placement of reinforcing steel (rebar) in concrete structures to ensure structural integrity and compliance with engineering specifications. They review blueprints, coordinate with construction teams, and may use software like AutoCAD or Revit to create detailed rebar layouts. The role often requires knowledge of building codes, safety standards, and sometimes certification in structural or civil engineering.

What jobs pay 4000 a week without a degree?

Rebar engineers typically do not earn $4,000 a week without specialized training or experience. High-paying jobs that can reach this level without a degree often include skilled trades such as commercial truck driving, certain sales roles, or entrepreneurship, but these usually require certifications, licenses, or significant experience. Most roles paying this amount consistently without a degree are rare and often involve high risk or physical labor.

What are the typical daily responsibilities of a Rebar Engineer on a construction project?

A Rebar Engineer's daily tasks often include reviewing structural drawings, preparing detailed reinforcement shop drawings, performing rebar quantity take-offs, and coordinating with architects, contractors, and site teams to address design or installation issues. You'll also inspect ongoing work to ensure compliance with specifications, troubleshoot potential layout conflicts, and update project documentation as construction progresses. The role requires collaboration and clear communication with multiple stakeholders, making strong organizational skills important for staying on schedule and ensuring quality outcomes. This active involvement throughout different project phases offers valuable experience and great opportunities for professional growth.

More about Rebar Engineer jobs
What cities are hiring for Rebar Engineer jobs? Cities with the most Rebar Engineer job openings:
What states have the most Rebar Engineer jobs? States with the most job openings for Rebar Engineer jobs include:
Infographic showing various Rebar Engineer job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $103,684 per year, or $49.8 per hour.

Senior ML Infrastructure Engineer

Rebar

New York, NY • On-site

$118K - $161K/yr

Full-time

Medical, Dental, Vision

Posted 6 days ago


Job description

Senior ML Infrastructure Engineer
Background
Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our V1 quoting product has scaled to thousands of quotes completed weekly, doubled revenue in 2026, and gained adoption across many of the top suppliers in North America. Fresh off a $14M Series A backed by leading construction tech investors, we're entering our next phase of growth - with AI at the center of everything we build next.
We're looking for a Senior ML Infrastructure Engineer to build the platform our ML engineers depend on to rapidly iterate, experiment, and ship models - spanning feature pipelines, training infrastructure, evaluation, deployment, and monitoring. You'll be joining a small, highly capable team focused on delivering practical, production-ready ML systems in a fast-moving startup context.
This role is ideal for someone who enjoys designing clean abstractions, integrating disparate systems into coherent platforms, and obsessing over the developer experience of the engineers they support. Our work spans the full ML lifecycle, and we're building the platform that makes it all hang together.
Responsibilities
Platform & Developer Experience: Design and build the CLI, SDK, and services that serve as the single front door to our ML platform. Make launching a training job, tracking an experiment, or shipping a model feel like one coherent product.
Infrastructure Integration: Wire together our cloud and SaaS stack - compute providers, storage, experiment tracking, model serving - into a unified system, codified as version-controlled infrastructure-as-code. Own the abstractions for compute orchestration, feature store, model registry, and model deployment.
Observability & Operations: Build cost attribution, usage dashboards, and monitoring across the platform. Surface what's running where, catch problems early, and keep production model serving - across detection, segmentation, recognition, and LLM/VLM workloads - reliable and cost-efficient at scale.
Collaboration and Roadmap: Work closely with ML engineers to understand their workflows, turn one-off scripts into self-serve platform features, and participate in architecture and roadmap decisions.
What We're Looking For
You should feel confident designing developer-facing APIs and SDKs, integrating disparate cloud and SaaS services into coherent systems, and obsessing over the experience of the engineers who use what you build.
We're seeking someone with strong platform-engineering instincts who enjoys turning fragmented workflows into products teams actually want to use. This role is a great fit if you have taste in abstractions, opinions about developer experience, and a track record of making ML or data teams meaningfully more productive.
Required Qualifications
  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or other relevant field - or equivalent industry experience.
  • 3+ years of experience building production backend systems, with significant time on internal developer platforms, ML platforms, or integration-heavy infrastructure work.
  • Expert-level Python; comfortable picking up other languages as the tooling demands.
  • 2+ years of experience with cloud infrastructure (AWS preferred), including IAM, networking, and cost management.
  • Proficiency with infrastructure-as-code (IaC) tooling such as Terraform, AWS CDK, or Pulumi for managing reproducible, version-controlled cloud environments.
  • Hands-on experience with managed ML inference and serving platforms such as AWS SageMaker and GCP Vertex AI.
  • A proven track record operating inference at large scale across a range of model types - detection, segmentation, recognition, and LLM/VLM workloads.
  • Experience managing a model zoo / model registry - versioning, promotion, and governance of models from experiment to production.
  • Proven ability to design clean, composable APIs and SDKs that internal users adopt willingly.
  • Deep understanding of ML related workflows and requirements.

Nice to Have
  • Experience integrating common ML tooling - experiment trackers (W&B, MLflow), feature stores, model serving frameworks - into broader platforms.
  • Experience with DAG / workflow orchestration frameworks such as Temporal, Prefect, or Apache Airflow.
  • Built a Backstage-style internal developer portal or comparable internal platform.
  • Familiarity with GPU compute providers (AWS, Lambda Labs, CoreWeave, RunPod).
  • Some ML practitioner background - you've trained or deployed models yourself and understand the workflow from the user's side.
  • Experience with deployment and monitoring pipelines for ML systems.

Compensation and Benefits
  • Salary: Competitive
  • Equity: Meaningful equity package, commensurate with experience
  • Benefits: Comprehensive medical, dental, and vision coverage
  • Perks: Free lunches and dinners provided

This is a salaried, onsite role located in New York City's beautiful Flatiron district, just minutes away from Madison Square Park and Union Square. Working onsite offers invaluable opportunities for real-time collaboration, creative problem-solving, and building strong connections within our talented and dynamic team. You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.