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Generative Ai Researcher Jobs in Minnesota (NOW HIRING)

Sony

$50/hr

... AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative ...

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Generative Ai Researcher information

What does a generative AI researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

What are some common challenges generative AI researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What are the key skills and qualifications needed to thrive as a generative AI researcher, and why are they important?

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.

What is the difference between Generative Ai Researcher vs Machine Learning Engineer?

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

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Cities in Minnesota with the most Generative Ai Researcher job openings:

Generative Ai Researcher jobs near you

Generative Ai Engineer - Minneapolis, Mn

Motion Recruitment Partners, LLC

Minneapolis, MN • On-site

$76.14 - $85.80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Job Description A forward-thinking technology and security organization is seeking a Generative AI Prompt Engineer to contribute to the development of AI-powered solutions supporting cybersecurity analysis, vulnerability discovery, and automated security testing efforts. This position is ideal for professionals who thrive in environments where experimentation, technical problem solving, and rapid iteration are key to success.
The team leverages frontier language models and advanced prompting techniques to address real-world security challenges. The individual in this role will help create scalable AI-driven frameworks, improve model effectiveness, and support initiatives focused on identifying meaningful security findings through Generative AI technologies.
Candidates who have successfully built AI solutions, developed complex prompt strategies, and applied AI capabilities to technical problem domains will be particularly well positioned for success. The environment is highly collaborative and focused on turning innovative ideas into practical capabilities.
This is a 12-month contract opportunity located in Minneapolis, MN with a hybrid schedule requiring three days onsite per week. Required Skills & Experience
  • Advanced knowledge of Large Language Models and Generative AI platforms
  • Experience creating, testing, and optimizing sophisticated prompts for technical use cases
  • Proven ability to develop AI harnesses, prompt frameworks, or AI-powered workflows
  • Cybersecurity experience including vulnerability analysis, security testing, threat identification, or related disciplines
  • Understanding of application and infrastructure security concepts
  • Familiarity with DAST, SAST, penetration testing, or vulnerability management practices
  • Software engineering experience using Python, Go, .NET, or similar programming languages
  • Ability to evaluate model performance and improve outcomes through experimentation
  • Strong analytical thinking and troubleshooting skills
  • Effective verbal and written communication abilities
Desired Skills & Experience
  • Background in AI-focused security research
  • Experience performing adversarial model testing or AI red-team activities
  • Knowledge of malware, threat intelligence, and cyber defense methodologies
  • Experience with PostgreSQL, Elasticsearch, Cloud SQL, or comparable database platforms
  • Familiarity with security monitoring, network analysis, and infrastructure risk assessment
  • Exposure to cloud-native environments
  • Kubernetes or GKE experience
  • Experience supporting enterprise-scale security programs
What You Will Be Doing Daily Responsibilities
  • Build advanced prompts and prompting methodologies for AI-driven cybersecurity initiatives
  • Develop frameworks that enable consistent and repeatable AI testing processes
  • Utilize Generative AI technologies to support security investigations and vulnerability analysis
  • Experiment with prompting approaches to improve model accuracy and effectiveness
  • Assess responses generated by AI systems and identify valuable security insights
  • Work alongside security and engineering teams to refine and expand AI capabilities
  • Contribute to research efforts focused on frontier language model applications
  • Support the collection, organization, and operational use of AI-generated findings
  • Build proof-of-concepts and prototypes that can be expanded into scalable solutions
  • Stay informed on emerging trends across AI, machine learning, and cybersecurity
The Offer
  • $76.14/hr - $85.80/hr W2
  • 12-Month Contract
  • Hybrid Schedule (3 Days Onsite)
  • Minneapolis, Minnesota
  • Opportunity to work on advanced AI and cybersecurity initiatives
  • Exposure to emerging Generative AI technologies and enterprise-scale innovation
  • Collaborative team focused on research, experimentation, and real-world implementation
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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