Company Overview:
At Undetectable AI, we’re on a mission to seamlessly integrate AI into everyday life through our cutting-edge SaaS web applications. We empower users to harness the potential of AI to optimize their workflows, enhance decision-making, and drive innovation. Join us in shaping the future of AI interaction!
Job Description:
We are seeking a talented Data Scientist to join our dynamic team. In this role, you will be instrumental in developing and training advanced AI detection models that differentiate between human-generated and AI-generated text. Your expertise will contribute to creating more intuitive and effective AI tools for our users.
Responsibilities:
Develop, train, and validate AI models, specifically focusing on detecting and differentiating text generated by humans versus AI.
Curate and manage large datasets, ensuring they are representative and unbiased, to train and test AI models.
Collaborate with cross-functional teams, including software developers and product managers, to integrate AI models into our SaaS solutions.
Conduct data-driven experiments and A/B testing to enhance model accuracy and efficiency.
Stay updated with the latest developments in AI, machine learning algorithms, and industry best practices.
Communicate findings and insights with stakeholders through clear visual reports and presentations.
Qualifications:
Proven experience in machine learning, data mining, and statistical modeling.
Strong programming skills in Python, R, or similar languages.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas).
Ability to handle large-scale data sets and develop models that are scalable and reproducible.
Excellent problem-solving skills and creativity.
Strong communication and collaboration skills.
Preferred Qualifications:
Experience in developing AI models for text analysis, natural language processing, or similar fields.
Prior experience in a SaaS environment or working with cloud technologies (Vercel, Supabase, ).
What We Offer:
Fully Remote Role, Flexible Hours.
A vibrant and inclusive workplace, where innovation is at the heart of all we do.
Competitive salary.
Opportunities for professional growth and advancement.
How to Apply:
Please submit your resume, a brief cover letter explaining why you are a great fit for this role, and any relevant work samples or portfolios. Mention the word pineapple in your application so we know you read this post. Also, answer these questions, ideally in a video of yourself talking about the answers.
1. Explain a technique you have used to improve the performance of a machine learning model.
2. Can you describe a challenging dataset you’ve worked with and how you approached it?
3. How do you ensure the representativeness of a dataset when preparing it for training an AI model?
APPLY FOR THIS JOB:
Company: WorldStaff
Name: Ben Miller
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