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About Client:
Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.
Job Description:-
Job Title: Mathematics Research Specialist
Location: Pan India
Experience: 2+ yrs
Employment Type: Contract to hire
Work Mode: Remote
Notice Period: Immediate joiners
Roles & Responsibilities:
Key Responsibilities
Collaborate with a specialized research team to investigate advanced mathematical formulations and foundational problems.
Develop, critique, and refine complex mathematical proofs and theoretical frameworks.
Communicate highly abstract mathematical concepts clearly to cross-functional technical teams.
Identify structural patterns within mathematical proofs and formalize them into reusable specifications.
Contribute to the architectural design of frameworks inspired by mathematical reasoning.
Document research findings, methodologies, and technical recommendations with clarity and precision.
Qualifications
Ph.D. in Mathematics or a closely related field.
Demonstrated expertise in Algebraic Geometry
Strong record of peer-reviewed publications in leading mathematical journals.
Advanced proficiency in mathematical proof development and theoretical analysis.
Exceptional written and verbal communication skills.
Ability to explain complex mathematical concepts to both specialist and non-specialist audiences.
Comfort working on high-risk, exploratory research problems.
Interest in connecting pure mathematics with technical architecture, formal systems, or computational frameworks.
Work arrangement
No
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