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Benefits offered by this job
Competitive base salary
Comprehensive health insurance
Generous paid time off
401(k) retirement plan
Flexible remote work options
Professional development opportunities
Job summary
A tech-centric company in the United States is seeking a Lead Data Scientist to design adaptive AI systems for seamless human interaction. You will mentor a team, develop ML pipelines, and ensure safe AI interactions. The ideal candidate has a Master's degree with over 4 years in research or ML engineering and expertise in AI development. Competitive salary and comprehensive benefits are included.
Qualifications
Master's Degree with 4+ years of experience in research/ML engineering.
2+ years leading AI/ML system development.
Experience building production-grade AI models.
Expertise in supervised learning and reinforcement learning.
Strong communication skills.
Responsibilities
Develop and manage ML pipelines for human-AI interactions.
Design models for intent recognition and personalization.
Lead human-in-the-loop data collection.
Collaborate with UX and engineering teams.
Mentor and guide a team of data scientists.
Skills
Supervised learning
Reinforcement learning from human feedback (RLHF)
Python
SQL
Data analysis/data mining tools
Collaboration skills
Machine learning frameworks (PyTorch, JAX)
Human-computer interaction
Education
Master's Degree in relevant field
Ph.D. in Machine Learning or related field (preferred)
Tools
PyTorch
JAX
LangChain
LangGraph
Job description
A tech-centric company in the United States is seeking a Lead Data Scientist to design adaptive AI systems for seamless human interaction. You will mentor a team, develop ML pipelines, and ensure safe AI interactions. The ideal candidate has a Master's degree with over 4 years in research or ML engineering and expertise in AI development. Competitive salary and comprehensive benefits are included.