- Design, develop, and implement AI models / LLMs to solve complex business problems and improve user experiences.
- Conduct exploratory data analysis, feature engineering, and data preprocessing to extract insights and optimize model performance.
- Collaborate with software engineers to deploy and integrate AI models into production systems, ensuring scalability, stability, and reliability.
- Perform thorough testing and evaluation of AI models to ensure their accuracy, efficiency, and robustness.
- Optimize algorithms and models for real-time or low-latency applications, considering resource constraints and performance requirements.
- Keep up-to-date with the latest research and advancements in AI/ML technologies, sharing knowledge and insights with the team.
- Work closely with stakeholders to understand their requirements, suggest strategic AI/ML initiatives, and continuously improve existing solutions.
Who you are
- 4+ years of real-world full-time experience developing or implementing software.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is commonly required. A Master's or Ph.D. in AI, Machine Learning, Data Science, or a related field is highly desirable.
- Strong ML research background in conjunction with and strong coding experience.
- You have a start-up mentality. You understand shipping a feature early and learning from the result is more important than perfecting it.
- You are always willing to roll up your sleeves and pitch in when the team needs help.
- AI/LLM Expertise: In-depth knowledge and expertise in artificial intelligence, machine learning, and deep learning techniques. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
- Willing to travel quarterly for team summits, these may include two to three international trips per year.
Benefits
- Live anywhere in the US
- Generous salary and equity package
- Full Health/Vision/Dental benefits (US-based employees)
- 401k
- Flexible Vacation / Sick Leave
- Flexible work hours
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Description
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