Ryz Labs

Astrophysics Expert - AI Trainer

Posted 30+ days ago

Job summary

  • Job post source

    This job is directly from Ryz Labs

  • Job overview

    The Astrophysics Expert - AI Trainer role at Ryz Labs involves using advanced astrophysics expertise to train AI models for scientific reasoning and discovery, impacting next-generation intelligent systems.

  • Responsibilities and impact

    The candidate will collaborate with AI researchers to teach AI models how astrophysicists analyze data, build theories, interpret observations, and explain cosmic phenomena, thereby enhancing AI's scientific capabilities.

  • Experience and skills

    Candidates must have a Ph.D. in Astrophysics or related fields with over 5 years of research experience, strong communication skills, and attention to detail.

  • Career development

    The role offers opportunities for growth, learning, and working on challenging projects in a startup environment with autonomy and ownership of development steps.

  • Work environment and culture

    Ryz Labs promotes a remote, distributed work environment with values like customer focus, urgency, ownership, humility, respect, frugality, impact delivery, and continuous improvement.

  • Company information

    Ryz Labs is a startup studio founded in 2021 by experienced entrepreneurs with backgrounds in major tech companies, focusing on building multiple startups using cutting-edge cloud technologies across the US and Latam.

  • Team overview

    The candidate will join remote, distributed teams across the US and Latam, working alongside AI professionals in a collaborative and autonomous setting.

  • Job location and travel

    The position is remote with teams distributed throughout the US and Latin America, leveraging cloud computing technologies.

  • Unique job features

    This role uniquely combines deep astrophysics expertise with AI training to develop intelligent systems capable of complex scientific reasoning, offering a rare interdisciplinary opportunity.

Company overview

Ryz Labs, founded in 2021 by Jordan Metzner and Sam Nadler, is a Los Angeles-based hybrid venture studio and human capital agency. The company specializes in building new startups from scratch and helping existing ones scale by providing top-tier technical talent solutions, particularly from Latin America. Ryz Labs generates revenue through talent placement services and venture investments, having launched multiple companies since its inception. The founders' extensive experience with major tech companies like Amazon and Lyft positions Ryz Labs as a significant player in the startup ecosystem.

How to land this job

  • Position your resume to highlight your Ph.D. in Astrophysics or related fields and emphasize over five years of research and academic experience in areas like cosmology, stellar physics, or planetary science to align with Ryz Labs' requirements.

  • Focus on showcasing your expertise in applying astrophysical concepts to AI model training or scientific data interpretation, emphasizing collaboration with AI teams and your communication skills to demonstrate your fit for this interdisciplinary role.

  • Apply through multiple channels including Ryz Labs' official corporate website and LinkedIn to maximize your chances of getting noticed by recruiters and the hiring team.

  • Connect with current employees or researchers in the AI or astrophysics divisions at Ryz Labs on LinkedIn; start conversations by referencing a recent Ryz Labs project or expressing enthusiasm about their mission to enhance AI with astrophysics knowledge.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'Ph.D. in Astrophysics,' 'AI model training,' 'cosmology,' 'stellar physics,' 'data interpretation,' and 'collaboration with AI teams' to ensure it passes automated screenings.

  • Utilize Jennie Johnson's Power Apply feature to automate tailoring your resume, finding multiple application portals, and identifying LinkedIn contacts for networking, allowing you to focus more on preparing for interviews and deepening your knowledge.

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