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Research Software Engineer Jobs in West Virginia

LTS

Senior Applied AI Engineer

Charleston, WV · Remote

$113K - $149K/yr

Partner closely with AI architects, platform engineers, software engineers, and front-end engineers to improve the overall intelligence of the platform. * Share research findings, experimental ...

Dscout

AI Data Engineer

Charleston, WV

$106K - $127K/yr

At Dscout, we're building the most flexible and powerful UX research platform on the market ... built as software, not one-off analyses * Set the standard for how data work gets done. Write ...

Thrivent Financial

Staff Engineer

Charleston, WV

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Developing Software * Use independent, critical thinking to solve complex problems which are ... Research and recommend technology to improve the current systems * Participate in team ...

Thrivent Financial

Staff Engineer

Charleston, WV · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design systems and software integration patterns across a diverse software engineering ecosystem ... Research and recommend technology to improve the current systems * Participate in team ...

Thrivent Financial

Staff Engineer

Charleston, WV · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design systems and software integration patterns across a diverse software engineering ecosystem ... Research and recommend technology to improve the current systems * Participate in team ...

Cengage Learning

Director, Software Engineering

Charleston, WV · On-site +1

$234K/yr

... research outcomes in the classroom, library, and beyond. Your role will be pivotal in shaping the ... software engineering teams. Following the Product Operating Model (POM), you'll collaborate with ...

SailPoint

Staff Product Security Engineer

Charleston, WV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate combines strong application security expertise with practical software ... Triage, coordinate, and oversee remediation for security researcher disclosures via our bug bounty ...

Bespoke Labs

Data Engineer

Wheeling, WV · On-site

$114K - $137K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Charleston, WV · On-site

$111K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Parkersburg, WV · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Huntington, WV · On-site

$97K - $116K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Morgantown, WV · On-site

$117K - $141K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

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Showing results 21-40

All JobsResearch Software Engineer JobsResearch Software Engineer Jobs in West Virginia

Research Software Engineer information

See West Virginia salary details

$86.3K

$159.5K

How much do research software engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for research software engineer in West Virginia is $155,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,700.00 and $158,700.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a research software engineer?

To thrive as a Research Software Engineer, you need strong programming skills (often in Python, C++, or Java), a solid understanding of algorithms, and an academic or industry background in computer science or a related field. Familiarity with version control systems like Git, cloud platforms, and experience using scientific computing libraries and frameworks are valuable, while a master's or Ph.D. can be advantageous for specialized roles. Excellent problem-solving, communication, and collaborative skills help in working closely with researchers and multidisciplinary teams. These capabilities are crucial for successfully translating complex research problems into robust, reproducible software solutions that advance scientific inquiry.

What does a research software engineer do?

As a Research Software Engineer, your daily work often involves designing and implementing software to support cutting-edge research projects, collaborating with scientists to understand their computational needs, and ensuring code reliability and reproducibility. You may spend time optimizing algorithms, writing unit tests, documenting software, and participating in code reviews within a collaborative team environment. Additionally, you might help deploy research applications on high-performance or cloud computing platforms and contribute to research publications. Balancing independent programming tasks with ongoing communication is key to making meaningful contributions to both the research and software development processes.

What are popular job titles related to Research Software Engineer jobs in West Virginia?

For Research Software Engineer jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Research Software Engineer jobs in West Virginia look for?

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Research Software Engineer jobs near you
Infographic showing various Research Software Engineer job openings in West Virginia as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $155,229 per year, or $74.6 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Charleston, WV • On-site

$140 - $210/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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