ML-engineer/ DS - Fake News Detection

/ Details

December 25, 2024
DATE:
Remote
Full-time
format:
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/ Content

What You Will Be Doing:

  • Develop and deploy machine learning models and AI solutions for fake news detection, focusing on natural language processing (NLP) and data-driven insights.
  • Research misinformation trends, detection methodologies, and mitigation strategies to advance the field.
  • Build and fine-tune transformer-based architectures (e.g., BERT, GPT) for detecting fake news and misinformation at scale.
  • Analyze large, complex datasets from social media, news platforms, and other sources to identify patterns and indicators of misinformation.
  • Generate synthetic fake news content to create diverse datasets for model training, evaluation, and enhancement.
  • Translate research findings into scalable systems for real-world applications.
  • Collaborate with cross-functional teams, including data engineers, UX designers, and policy experts, to create integrated solutions.
  • Publish findings in top-tier journals and conferences to contribute to the academic and practitioner community.

Requirements:

  • Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or related fields.
  • 5+ years of professional experience in machine learning, with a proven track record in building and deploying ML systems.
  • At least 1 year of hands-on experience in fake news detection, misinformation research, or a closely related domain.
  • Strong programming skills in Python, with experience using libraries such as TensorFlow, PyTorch, or Hugging Face.
  • Expertise in transformer-based models, sentiment analysis, and NLP.
  • Experience working with fake news datasets or similar resources.
  • Strong analytical skills and experience in applying research to solve real-world problems.
  • Excellent communication and teamwork abilities, with a collaborative approach to problem-solving.

What We Offer:

  • Participation in the development of a fast-evolving product operating in real-time markets.
  • Competitive salary based on interview performance and qualifications, ranging from $8,000 to $15,000.
  • Opportunities to enhance your expertise by working with top-tier colleagues and learning on the job.
  • A dynamic, young team of professionals driven by results, who value integrity, honesty, and openness.
  • English language classes with a native speaker, health insurance after the probation period, and thoughtful holiday gifts.
  • A horizontal structure with no bureaucracy or "big boss" mentality.
  • A results-focused work culture with flexible schedules and fully remote opportunities without geographical restrictions.

If this sounds like you, apply now to join our team!

Apply Now