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Phd Engineer Jobs in Missouri (NOW HIRING)

Jobtailor

Machine Learning Engineer

California, MO · On-site

$130 - $190/hr

PhD in STEM +0 years of relevant experience or equivalent related work experience * 5+ years of experience in data engineering, machine learning engineering, or related roles * Data Pipeline ...

Jobtailor

Physical Design Engineer

California, MO · On-site

$110 - $190/hr

OR a PhD in Electrical Engineering, Computer Engineering, or a related field. * In RTL-to-GDS implementation, including synthesis, place and route, and timing closure. * In industry-standard EDA ...

Jobtailor

Manager, Security Engineering

California, MO · On-site

$150 - $210/hr

... PhD in a related technical field + 4 years of post-grad security experience * 1+ year(s) of technical leadership or engineering management experience * Expertise in software engineering, with ...

6AM City, LLC

Senior Algorithm Engineer

California, MO · On-site

$150 - $190/hr

PhD in Electrical Engineering, or equivalent research experience, specializing in wireless communications. * 3+ years of industry experience in location based wireless engineering. * Comprehensive ...

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Phd Engineer information

What is a PhD engineer?

A PhD Engineer is an individual who has completed a Doctor of Philosophy (PhD) degree in an engineering discipline. This advanced degree signifies deep expertise in a specialized area of engineering, often involving original research and the completion of a dissertation. PhD Engineers typically work in academia, research and development, or advanced industry roles where they contribute to scientific innovation and technological advancements. Their work often includes conducting research, publishing scholarly articles, and mentoring students or junior engineers.

What are the key skills and qualifications needed to thrive as a PhD engineer?

To thrive as a PhD Engineer, you need advanced expertise in engineering principles, research methodology, and problem-solving, typically supported by a doctoral degree in an engineering discipline. Familiarity with specialized technical tools, modeling software, data analysis platforms, and sometimes professional certifications are commonly required. Exceptional analytical thinking, innovation, and strong communication skills set top PhD Engineers apart in collaborative and research-driven environments. These competencies are vital for driving technological advancements, publishing impactful research, and leading complex engineering projects.

Is a PhD useful in engineering?

A PhD in engineering can be highly valuable for roles involving research, development, and advanced technical problem-solving. It demonstrates expertise, analytical skills, and the ability to conduct independent research, which are often required for specialized or leadership positions in engineering fields.

What jobs can I get with a Phd engineer?

A PhD in engineering qualifies individuals for advanced roles such as research scientist, university professor, R&D engineer, or technical consultant. These positions often require strong analytical skills, expertise in specialized tools or software, and may involve project management or collaboration in innovative environments.

What are the typical career advancement opportunities for a PhD engineer in an industrial setting?

PhD Engineers in industry often start in research and development roles, where they apply their advanced technical expertise to solve complex problems. Over time, they may progress into senior scientist or technical lead positions, and can also transition into management roles such as R&D manager or director. Career growth is often driven by demonstrated innovation, successful project leadership, and strong collaboration skills. Additionally, PhD Engineers frequently have opportunities to shape company strategy, mentor junior engineers, and contribute to patent portfolios.

What is the difference between Phd Engineer vs Research Scientist?

AspectPhd EngineerResearch Scientist
Required CredentialsPhD in Engineering or related fieldPhD in relevant scientific discipline
Work EnvironmentIndustry labs, R&D departments, manufacturingAcademic labs, research institutions, industry R&D
Employer & Industry UsageTech companies, manufacturing firms, engineering firmsUniversities, government agencies, private research firms
Common Search & ComparisonYesYes

Both Phd Engineers and Research Scientists hold doctoral degrees and work in research-intensive environments. Phd Engineers typically focus on applied engineering projects within industry, while Research Scientists often work on fundamental scientific research in academic or government settings. The choice depends on whether you prefer industry application or scientific exploration.

What are popular job titles related to Phd Engineer jobs in Missouri? For Phd Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Phd Engineer jobs in Missouri look for? The top searched job categories for Phd Engineer jobs in Missouri are:
What cities in Missouri are hiring for Phd Engineer jobs? Cities in Missouri with the most Phd Engineer job openings:
Phd Engineer jobs near you
Infographic showing various Phd Engineer job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Jobtailor

California, MO • On-site

$130 - $190/hr

Other

Posted 4 days ago

Job description

Responsibilities
  • build dynamic troubleshooting agents that understand networks
  • solve unstructured production log data complexities
  • optimize hardware utilization for data collection
  • automate synthetic datasets creation
  • architect data infrastructure for real-time network failures analysis
  • design and scale automated pipelines transforming raw production logs into insights
  • develop systems generating synthetic data for edge cases learning
  • tackle unique network complexity problems
  • optimize data collection and hardware utilization
Requirements
  • Bachelor's degree in STEM and 5+ years of relevant experience
  • Master's degree in STEM and 3+ years of relevant experience
  • PhD in STEM +0 years of relevant experience or equivalent related work experience
  • 5+ years of experience in data engineering, machine learning engineering, or related roles
  • Data Pipeline experience, designing and scaling data pipelines for unstructured or semi-structured data, including ingestion, cleansing, and auditing
  • ML Infrastructure experience working with ML data workflows, including dataset creation, labeling, and evaluation
  • Experience with Python and data processing frameworks (e.g., Spark, Beam, Ray)
  • Experience with ML systems and tools, such as training pipelines and model evaluation frameworks
  • Experience with human-in-the-loop ML systems, active learning, weak supervision or self-evolving agents (preferred)
  • Exposure large language models, computer vision, or speech datasets (preferred)
  • Experience building internal tools or platforms used by annotation or operations teams (preferred)
Hard Skills
  • Data Engineering
  • Machine Learning Engineering
  • Data Pipeline
  • Data Processing
  • Synthetic Data Creation
  • Real-Time Analysis
  • Network Troubleshooting
  • Data Cleansing
  • Model Evaluation
  • Active Learning
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