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Python Ai Developer Jobs in Park, VA (NOW HIRING)

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Python Ai Developer information

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$58

$85

How much do python ai developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python ai developer in Park, VA is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What are popular job titles related to Python Ai Developer jobs in Park, VA?

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The top searched job categories for Python Ai Developer jobs in Park, VA are:

What cities near Park, VA are hiring for Python Ai Developer jobs?

Cities near Park, VA with the most Python Ai Developer job openings:

Infographic showing various Python Ai Developer job openings in Park, VA as of June 2026, with employment types broken down into 49% Full Time, 47% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

Postdoctoral Research Associate, Machine Unlearning and Model Editing for AI Biosecurity

Charlottesville, VA • On-site

University of Virginia
Colleges, Universities, and Professional Schools • 10K+ employees

$60K - $75K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 28 days ago


Key responsibilities

  • Implement and compare machine unlearning and model editing methods, including gradient-based fine-tuning, representation-level edits, and inference-time steering

  • Design and run experiments to measure how interventions affect benchmark scores and real-world task performance, producing safety-utility curves

  • Lead engineering of the open-source UBS-Bio evaluation suite, including baselines, metrics, and documentation


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz


Job description

About the School
The University of Virginia School of Data Science, the first of its kind in the nation, advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, and statistics to address complex, real-world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data-driven world.
About the Position
This position develops and evaluates machine unlearning and model editing methods that selectively reduce hazardous biological capabilities in AI systems while preserving beneficial scientific functions . The researcher reports to Assistant Professor Tom Hartvigsen and will work closely with other SDS faculty members including Chirag Agarwal , and Stephen Turner, and works with faculty in interpretability and with a laboratory partner that leads adversarial red teaming. The role centers on implementing , innovating, and comparing model editing and unlearning methods , measuring safety - -utility tradeoffs against both benchmarks and realistic task batteries, and leading technical development of an open evaluation suite for AI biosecurity. Strong f amiliarity with biology and biosecurity is important , as the work targets biological capabilities and connects to a human-subjects evaluation running in parallel.
Key Responsibilities
  • Implement and compare machine unlearning and model editing methods, including gradient-based fine-tuning, representation-level edits, and inference-time steering

  • Design and run experiments that measure how interventions affect benchmark scores and real-world task performance, producing safety-utility curves

  • Develop adversarial testing protocols with the laboratory partner, including prompt-based jailbreaks, fine-tuning recovery, and ensemble attacks

  • Lead engineering of the open-source UBS-Bio evaluation suite, including baselines, metrics, and documentation

  • Support interpretability analyses that identify which model representations encode hazardous versus beneficial capabilities

  • Prepare and present manuscripts and publish and maintain reproducible code releases

Minimum Qualifications
  • Doctoral degree (PhD or equivalent) in data science, computer science, machine learning, or a related field, completed at the time of hire

  • Strong programming in Python and hands-on experience with modern ML frameworks such as PyTorch and Hugging Face Transformers

  • Track record of publications in machine learning, natural language processing, and/or biosecurity

  • Demonstrated experience training, finetuning, or post-training for large language models

  • Software engineering practices that support reproducible and reusable research tools

Preferred Qualifications
  • Understanding of biology, biosecurity, or dual-use research considerations

  • Experience with machine unlearning, model editing, or related capability-mitigation methods

  • Experience with mechanistic interpretability or representation analysis

  • Familiarity with adversarial robustness, red-teaming, or jailbreak evaluation

  • Experience releasing and maintaining open-source ML evaluation tooling

  • Familiarity with secure computing environments and controlled-access model arrangements

Anticipated Salary: $60,000 - $75,000 per year
Anticipated Start Date: September 1, 2026
Health and Other Benefits
(visit Health and Other Benefits for additional information)
  • UVA Health Plan: the choice between 3 different health plans

  • Vision Coverage

  • Dental Plan

  • Benefit Savings Plans

  • Life Insurance

  • Disability Benefits

  • Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave

Education Benefits (visit Education Benefits for additional information)
After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:
  • Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program

  • Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.

Position Details
This position will remain open until it is filled. This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The initial appointment is for one year; however, the appointment may be renewed for an additional year contingent upon funding and satisfactory performance. This is an exempt level, term-limited (restricted), benefited position.
Application Process
Please apply online , and search for R0084978.
Complete an application online and attach:
Cover letter detailing your interest and relevant experience to this position Resume or CV Two letters of recommendation with contact information
Applications that do not contain all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
References will be completed via direct reach. Please plan to provide at least three references when applying.
A background check is required and will be conducted per university policy prior to the first day of employment.
For questions about the position , contact Associate Professor Stephen D. Turner at sdt5z@virginia.edu .
For questions about the application process, please contact Daniel Strong, Senior Human Resources Recruiter, at das6zb@virginia.edu .
For more information about UVA and the Charlottesville community, please see www.virginia.edu/life/charlottesville and https://embarkcva.com/ .
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
MINIMUM REQUIREMENTS
Education: Doctoral degree
Experience: None
Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819