Research Engineer

Montpelier, IA, US Mid Level Research Engineer

Interested in this Research Engineer role at SSAB AB?

Apply Now →

About This Role

AI job market dashboard showing open roles by category

SSAB is one of the largest North American producers of steel plate and coil, serving many industrial markets including energy, construction, agriculture and transportation. SSAB operates five state of the art facilities strategically located in key regions across the U.S.

SSAB has nearly 1,200 highly skilled employees in the U.S. Jobs at SSAB range from machine operators and sales people to advanced engineers and corporate professionals in HR, finance and more. SSAB offers challenging careers and comprehensive benefit program designed to keep employees and their families healthy and secure.

POSITION DESCRIPTON:The incumbent serves as an expert for SSAB in North America for the scientific understanding of the fundamentals underpinning primary steelmaking processes, specifically scrap melting in the electric arc furnace and secondary steel refining in the ladle. He or she must have a strong knowledge of physical, thermal, and chemical transformation processes during steel melting and refining processes with a deep understanding of the principles of reaction kinetics and thermodynamics and their use for process optimization. He or she will be involved in activities related to production trials and development of production practices. The incumbent will work in the SSAB state\-of\-the\-art Research and Development Facility located in Muscatine, Iowa. The position reports to the Director, Research and Development and has a close working relationship with Primary Operations and Technical Services groups at both the Iowa and Alabama steel mills.

ESSENTIAL RESPONSIBILITIES / FUNCTIONS:* Develop scrap recipes based on different feedstocks for production trials with the purpose of optimizing the electric arc furnace scrap melting process.

  • Develop an understanding of the relationship between scrap recipe, flux addition, and slag chemistry with the purpose of optimizing the process to consistently achieve optimal slag chemistry and foaming and for efficient dephosphorization during scrap melting in the electric arc furnace.
  • Develop a flux practice for efficient desulphurization of steel and absorption of non\-metallic inclusions from the steel during ladle refining process.
  • Develop practices for optimization of different calcium\-bearing alloys for efficient modifications of oxides and sulfides.
  • Contribute to the development of numerical models specific to steelmaking processes at SSAB mills and work with Operations and others to advance implementation of numerical models to assist in controlling key processes.
  • Perform inclusion analyses using optical microscope and SEM/EDS to help develop optimal practices for ladle refining process.
  • Perform raw material testing to ensure conformity of vendor materials to specifications.
  • Write technical reports to document research work and findings of trials and investigations.
  • Read published papers and communicate with colleagues to keep current with developments within the steel industry and academia regarding primary steelmaking process for potential process optimization.

QUALIFICATIONS – Education, Experience and Competencies:Required:* MSc. in Metallurgical Engineering or related discipline

  • At least two years of experience in the steel industry or academic work focused on steelmaking, particularly in relation to scrap melting in the electric arc furnace and ladle refining technology.
  • Strong analytical skills.
  • Strong written and verbal communication skills.
  • Experience in using lab equipment such as polishing machine, optical microscope and SEM/EDS desirable
  • Regular and reliable attendance

Preferred:* PhD., ScD. or similar doctoral degree in Metallurgical Engineering or related discipline

Educational background in material science, and a strong knowledge of principles of reaction kinetics and thermodynamics during scrap melting in electric arc furnace and ladle refining process.

*

WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS:The employee will frequently be required to:* This position operates in an office environment. The role routinely uses standard office equipment such as computers, network tools/equipment, phones, photocopiers and scanners. This role is partially sedentary (average of 6 hours per day), however, some standing and walking is required.

  • The position requires working in the plant to perform trials and collect data, using laboratory equipment such as optical microscopes, SEM/EDS, polishing machines, band saws and surface grinder, and MAY involve using hardness testing, tensile testing, CVN testing, DWTT machine, band saws, thermal cutting, waterjet cutting, heat treating furnaces, and crane.

The position requires preparing various acid solutions for etching steel specimens such as sulfuric acid, picric acid, oxalic, natal etc.

*

The employee will occasionally be required to:* This position will frequently require work in the mill and in the field environment with some exposure to heat/cold, walking, climbing stairs/ladders, noise, and wearing safety equipment/clothing for protection from hazards

  • Some handling of materials is required. This would require the ability to walk, bend, kneel or stand, use of hands to finger, hold and handle, reach with hands and arms and to push/pull, lift or carry items up to 50 lbs.

Drive or travel by airplane

*

The position requires the following vision and hearing capabilities:* Talking person to person, on the phone, and/or in group settings

  • Hearing in person, on the phone, and/or in group settings

Vision at near, mid, and far range

*

POSITION TYPE \- WORK HOURS \- TRAVEL REQUIREMENTS:* Position is full time, exempt

  • Position works an eight (8\) hour day shift, Monday through Friday
  • Travel for this position is necessary and expected to comprise up to 20\-25% of work hours – some international travel is possible

Onsite presence required

*

OTHER DUTIES:Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that may be required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

SSAB BENEFITS – starting at hire! Excellent Pay with Additional Bonus

Very Affordable Health Insurance

ü Blue Cross/Blue Shield Medical

ü CVS/Caremark Prescription

ü Delta Dental

ü Superior Vision

401(k) with Employer Match – 5%

Profit Sharing

10 Paid Holidays

Vacation

Company Paid Life Insurance \- and STD and LTD\*

Optional Life, Hospital Indemnity, Critical Illness

Healthcare and Dependent Care Flexible Spending Account (FSA)

Tuition Reimbursement

Employee Assistance Program

SSAB's vision is a stronger, lighter and more sustainable world.

SSAB's values form the guiding principals of our company.

They shape our culture and characteristics. They serve as a compass for our actions and behavior, and describe what we stand for. Values guide us daily in making the right choices and doing the right things.

SSAB's values are:

  • Driven \- Together we create value
  • True \- Do what is right
  • Ahead \- Future in mind

Role Details

Company SSAB AB
Title Research Engineer
Location Montpelier, IA, US
Experience Mid Level
Salary Not disclosed
Remote No

About This Role

Research Engineers bridge the gap between research and production. They implement papers, build experiment infrastructure, optimize training pipelines, and make research prototypes production-ready. They're the engineers who make research work at scale.

The role sits at a unique intersection. You need to understand the math well enough to implement novel architectures correctly, and you need the engineering chops to make them run efficiently on distributed systems. When a research scientist has a breakthrough idea, you're the person who turns it from a notebook prototype into a training pipeline that runs on 256 GPUs.

Across the 3,824 AI roles we're tracking, Research Engineer positions make up 2% of the market. At SSAB AB, this role fits into their broader AI and engineering organization.

Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.

What the Work Looks Like

A typical week involves: implementing a new attention mechanism from a recent paper, profiling and optimizing a training pipeline that's bottlenecked on data loading, building evaluation infrastructure for a new benchmark, debugging distributed training issues across a GPU cluster, and pair-programming with a research scientist on their latest experiment. The work is deeply technical.

Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.

Skills in Demand for This Role

Python (51% of roles) Aws (31% of roles) Azure (23% of roles) Rag (23% of roles) Gcp (19% of roles) Prompt Engineering (15% of roles) Pytorch (15% of roles) Claude (14% of roles)

Strong software engineering fundamentals plus ML knowledge. Python, C++, and CUDA experience are common requirements. You'll need to read papers and turn ideas into working code. Distributed systems experience (especially distributed training) is highly valued. Performance optimization skills separate great candidates from good ones.

Experience with large-scale training infrastructure (FSDP, DeepSpeed, Megatron), GPU programming (CUDA, Triton), and the internals of ML frameworks (PyTorch internals, custom autograd functions) is what makes candidates stand out. The best research engineers can debug issues that span the full stack from GPU memory management to numerical precision to algorithmic correctness.

Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.

Compensation Benchmarks

Research Engineer roles pay a median of $260,000 based on 401 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $160,000.

Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.

SSAB AB AI Hiring

SSAB AB has 1 open AI role right now. They're hiring across Research Engineer. Based in Montpelier, IA, US.

Location Context

Across all AI roles, 16% (613 positions) offer remote work, while 3,187 require on-site attendance. Top AI hiring metros: New York (2,448 roles, $210,000 median); San Francisco (1,990 roles, $253,000 median); Los Angeles (1,686 roles, $189,000 median).

Career Path

Common paths into Research Engineer roles include Software Engineer, ML Engineer, Research Intern.

From here, career progression typically leads toward Senior Research Engineer, Research Scientist, ML Architect.

This is one of the best entry points into AI research without a PhD. Build a strong engineering portfolio with ML projects, contribute to open-source ML frameworks, and demonstrate that you can implement complex ideas correctly and efficiently. The transition to Research Scientist is possible with published first-author work, which some research engineer roles support.

What to Expect in Interviews

Technical screens test both engineering skill and research understanding. Expect coding rounds with performance-critical implementations (GPU optimization, efficient data loading). Be prepared to discuss papers relevant to the team's research area and explain how you'd implement key ideas. System design questions focus on training infrastructure: distributed training, experiment tracking, and compute resource management.

When evaluating opportunities: Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.

AI Hiring Overview

The AI job market has 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.

The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 roles).

Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.

The AI Job Market Today

The AI job market spans 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (119) are outnumbered by mid-level (1,813) and senior (1,472) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 420 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $142,800. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 401 roles with disclosed compensation, the median salary for Research Engineer positions is $260,000. Actual compensation varies by seniority, location, and company stage.
Strong software engineering fundamentals plus ML knowledge. Python, C++, and CUDA experience are common requirements. You'll need to read papers and turn ideas into working code. Distributed systems experience (especially distributed training) is highly valued. Performance optimization skills separate great candidates from good ones.
About 16% of the 3,824 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
SSAB AB is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from Research Engineer positions include Senior Research Engineer, Research Scientist, ML Architect. Progression depends on whether you lean toward technical depth, people management, or product strategy.

Get Weekly AI Career Intelligence

Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.