Senior AI Engineer and Researcher
Puritype, a Delaware-headquartered AI start-up, is seeking a Senior AI Engineer and Researcher to join its fully remote team (based in Ho Chi Minh City, Vietnam). This is a full-time position focused on building a cutting-edge recommendation system MVP with applications in supporting businesses and policymakers to combat unfair trade practices. Key responsibilities include implementing causal inference approaches, developing machine learning algorithms, conducting data analysis and statistical modeling, and designed NLP-enabled, pattern-recognition-based AI engines. The engineer will collaborate closely with data scientists to refine and optimize AI pipelines that make actionable recommendations based on user data.
Ideal candidates will have strong expertise in neural networks, natural language processing, and software development. Experience with causal inference or counterfactual evaluation techniques is highly desirable, especially within the context of recommender systems. A Master’s or Ph.D. in Computer Science, AI, Engineering, or a related field is required, along with proven problem-solving, analytical, and collaboration skills.
This role offers a unique opportunity to work in a mission-driven environment aimed at addressing complex policy challenges using AI. Candidates will be at the forefront of scaling impactful AI products from the ground up in a dynamic start-up setting.
About Puritype
Puritype is a startup focused on creating AI-driven recommendation systems to bring the right opportunities and help businesses and policymakers fight unfair trades and bad trade agreements. Our goal is to address specific situations and provide valuable insights through technology.
Role Description
This is a full-time remote role for a Senior AI Engineer/Product Builder - Recommendation System at Puritype. The role involves working on pattern recognition, neural networks, software development, and natural language processing (NLP) to build innovative AI solutions. The Senior AI Engineer will be responsible for developing and optimizing recommendation algorithms and systems.
This job is going to build MVP (minimum viable product). The role will be responsible for developing causal inferences methods to estimate the effect of treatment and implementing machine learning algorithms, pattern recognition. They will also work on data analysis, statistical modeling, and algorithm optimization. The AI Engineer will collaborate with a team of engineers and data scientists to improve recommender systems.
As an AI Engineer, you will work with researchers in causal inference to build a recommendation system, where an end-to-end AI system processes raw sensor input to make direct right decisions, we are building end-to-end AI based recommendation algorithms. These algorithms aim to discover the most compelling content on the platform — including posts, promoted content, creators, and videos — based directly on users' activity on the platform. As a key driver of this effort, you will test state-of-the-art methodologies to significantly enhance by Causal inference (Counterfactual evaluation).
Qualifications
- Pattern Recognition and Neural Networks skills
- Computer Science and Software Development skills
- Natural Language Processing (NLP) expertise
- Experience in developing AI recommendation systems
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Master's or Ph.D. in Computer Science, Engineering, or related field
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