Field AI

1.1 Mathematical Scientist: Stochastic Models and Risk Quantification

MISSION VIEJO, CAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Field AI

  • Job overview

    The 1.1 Mathematical Scientist role at Field AI focuses on developing stochastic models and risk quantification to drive AI innovation in robotics, ensuring robust and explainable AI systems.

  • Responsibilities and impact

    Key responsibilities include developing stochastic models for risk quantification, applying advanced mathematical equations, creating stochastic inference frameworks, and collaborating with AI and engineering teams to integrate insights into real-time robotics.

  • Compensation and benefits

    The salary range is $70,000 - $300,000 annually, with variations based on experience and location, and options for hybrid or remote work.

  • Experience and skills

    Candidates should have a Ph.D. in Mathematics or related fields, expertise in stochastic calculus, and strong programming skills in Python, C++, or Julia, with experience in high-performance computing.

  • Career development

    Opportunities for professional growth include working with a world-class team and contributing to innovative projects in robotics.

  • Work environment and culture

    Field AI promotes a creative and resilient work culture, valuing diversity and inclusion while focusing on solving complex challenges in robotics.

  • Company information

    Field AI is a pioneering company in robotics, known for its Field Foundational Models™ and a decade-long track record of successful deployments, with a team that includes experts from top organizations.

  • Team overview

    The team comprises diverse professionals, including AI talent, software developers, and engineers, all working collaboratively to tackle ambitious challenges in robotics.

  • Job location and travel

    The company is headquartered in Mission Viejo, Southern California, with options for remote work.

  • Application process

    Candidates should apply by submitting their resume and any relevant documentation as specified in the job posting.

  • Unique job features

    This role offers the chance to work on cutting-edge AI systems that redefine decision-making under uncertainty in real-world applications.

Company overview

Field AI is a technology company specializing in artificial intelligence solutions tailored for industries such as agriculture, environmental monitoring, and resource management. The company develops AI-driven tools and platforms that optimize decision-making, improve operational efficiency, and enhance sustainability by leveraging data analytics, machine learning, and computer vision. Field AI generates revenue through software subscriptions, consulting services, and partnerships with organizations seeking to integrate AI into their workflows. Founded with a mission to address real-world challenges through AI innovation, the company has positioned itself as a leader in applying advanced technology to critical sectors. Candidates should note its emphasis on sustainability and its collaborative approach to problem-solving.

How to land this job

  • Position your resume to highlight your expertise in stochastic models, uncertainty quantification, and risk-aware decision-making, as these are central to the role at Field AI.

  • Emphasize your proficiency in stochastic differential equations, Hamilton-Jacobi PDEs, and your experience with high-performance computing and programming skills in Python, C++, or Julia, aligning closely with the job requirements.

  • Apply through various platforms, including Field AI's corporate site and LinkedIn, to maximize your chances of being noticed for this position.

  • Network with professionals in the relevant division at Field AI on LinkedIn; potential ice breakers could include discussing recent advancements in stochastic modeling or expressing your enthusiasm for their innovative approach to robotics.

  • Optimize your resume for ATS by incorporating keywords from the job description, such as 'stochastic models,' 'uncertainty quantification,' and 'risk-aware decision-making,' to enhance visibility during screening.

  • Utilizing Jennie Johnson's Power Apply feature can simplify your application process, ensuring your resume is tailored, and helping you efficiently connect with the right people while you focus on your job search.

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