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Research Python Jobs in Wisconsin (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Racine, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Kenosha, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Green Bay, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Howard

PostDoctoralResearchAssociate-2

Downing, WI

$60K - $70K/yr

Support transportation engineering research at Howard University. The role engages with internal ... Python). * Experience with statistical and machinelearning techniques applied to timeseries or ...

Howard

PostDoctoralResearchAssociate-1

Downing, WI

$60K - $70K/yr

Support transportation engineering research at Howard University. The role engages with internal ... Python). * Experience with statistical and machinelearning techniques applied to timeseries or ...

Autodesk

$107K - $139K/yr

You are excited to collaborate across research and product to ship ML capabilities with clear ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Autodesk

$118K - $153K/yr

You are excited to collaborate across research and product to ship ML capabilities with clear ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Farm Systems

Quantitative Geneticist

Madison, WI

RESPONSIBILITIES Research and Development * Support and develop proprietary genetic and phenotypic ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

AgSource

Quantitative Geneticist

Madison, WI · On-site

RESPONSIBILITIES Research and Development * Support and develop proprietary genetic and phenotypic ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

Alta Genetics

Quantitative Geneticist

Madison, WI

RESPONSIBILITIES Research and Development * Support and develop proprietary genetic and phenotypic ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

AgSource

Quantitative Geneticist

Madison, WI · On-site

RESPONSIBILITIES Research and Development * Support and develop proprietary genetic and phenotypic ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

Urus

Quantitative Geneticist

Madison, WI

RESPONSIBILITIES Research and Development * Support and develop proprietary genetic and phenotypic ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

Urus Group LP

Quantitative Geneticist

Madison, WI

RESPONSIBILITIES Research and Development * Support and develop proprietary genetic and phenotypic ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

RESPONSIBILITIES Research and Development * Support and develop proprietary genetic and phenotypic ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

Baker Tilly US

Associate Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Responsibilities : • Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python ... Research new capabilities, share findings in internal communities of practice, and contribute to ...

Baker Tilly US

Associate Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Responsibilities : • Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python ... Research new capabilities, share findings in internal communities of practice, and contribute to ...

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Research Python information

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What Python jobs are in demand?

Python development roles such as software engineer, data analyst, data scientist, machine learning engineer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis tools, and proficiency in libraries such as Pandas and TensorFlow.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency, but human oversight remains essential for quality and innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for research roles in 2026 due to its versatility, extensive libraries, and widespread use in data analysis, machine learning, and automation. Proficiency in Python, along with knowledge of frameworks like Pandas or TensorFlow, continues to be valuable for research positions across various industries.

Which pays more, C++ or Python?

For a Research Python role, Python developers generally have a lower median salary compared to C++ developers, especially in fields like software engineering and systems programming. C++ skills are often associated with higher-paying positions due to its use in performance-critical applications, but salary can vary based on experience, industry, and location. Both languages are valuable, and salary differences depend on the specific job requirements and market demand.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What are popular job titles related to Research Python jobs in Wisconsin? For Research Python jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Wisconsin look for? The top searched job categories for Research Python jobs in Wisconsin are:
What cities in Wisconsin are hiring for Research Python jobs? Cities in Wisconsin with the most Research Python job openings:
Research Python jobs near you

Machine Learning Engineer

Bespoke Labs

Racine, WI • On-site

Full-time

Posted 11 days ago

Key responsibilities

  • Work directly with the research team on RL environment and task creation for agent training.

  • Design observation spaces, action spaces, reward signals, and success criteria for new environments.

  • Build infrastructure to enable world-scale RL training.

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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