Job summary
Job post source
This job is directly from Autopoiesis Sciences, Inc.
Job overview
The AI Researcher role at Autopoiesis Sciences involves developing AI systems for scientific superintelligence to autonomously advance knowledge and scientific discovery.
Responsibilities and impact
The researcher will design and improve distributed training systems, develop algorithms promoting rigorous scientific methods, collaborate with domain experts to encode epistemological principles, build evaluation frameworks, and contribute to both research and engineering efforts.
Compensation and benefits
The position offers competitive compensation ranging from $140,000 to $230,000 USD, equity, benefits, and a collaborative, mission-driven team culture with frequent team events.
Experience and skills
Candidates need at least 4 years of AI research experience, strong engineering skills for production-quality ML code, expertise in epistemology and scientific methodology, and experience with autonomous agent architectures and scientific computing; advanced degrees are preferred.
Career development
The role offers opportunities to work closely with founders and leading scientists, contributing to cutting-edge AI research and production systems in a mission-driven environment.
Work environment and culture
The company fosters a thoughtful, mission-driven culture focused on scientific discovery, with frequent team events and a commitment to diversity and inclusion.
Company information
Autopoiesis Sciences is focused on building scientific superintelligence AI, backed by venture capital and supported by thousands of scientists, aiming to create autonomous research systems.
Team overview
The candidate will work closely with founders and a chief scientist with strong academic and research backgrounds, in a team blending research and engineering roles.
Application process
Applications are accepted only through LinkedIn to ensure genuine candidates, with systems to detect and discourage automated applications.
Unique job features
The job is distinguished by its focus on building AI for autonomous scientific discovery, integrating epistemological principles, and combining research with engineering in a cutting-edge AI startup.
Company overview
Autopoiesis Sciences, Inc. is a biotechnology company focused on developing advanced synthetic biology solutions for applications in healthcare, agriculture, and industrial processes. The company generates revenue through the commercialization of proprietary gene-editing platforms, licensing agreements, and strategic partnerships with pharmaceutical and agritech firms. Founded by a team of scientists with expertise in cellular engineering, Autopoiesis Sciences has established a reputation for pioneering research in programmable living systems and sustainable biomanufacturing. Notably, the company has secured several patents and has been recognized for its collaborations with leading research institutions. Candidates should be aware of its innovative culture and commitment to ethical biotechnology development.
How to land this job
Position your resume to emphasize your experience in designing and implementing distributed machine learning systems, particularly those that support autonomous scientific reasoning and discovery, reflecting the core mission of Autopoiesis Sciences.
Highlight your solid engineering skills with a focus on writing production-quality, bug-free machine learning code and optimizing system performance, as this role blends research with production engineering.
Showcase your unique expertise in epistemology, philosophy of science, and scientific methodology, particularly your ability to formalize these concepts into computational frameworks, which is a key qualification for this position.
Apply through multiple channels including Autopoiesis Sciences' LinkedIn job posting, as their application process prefers LinkedIn to ensure genuine candidates, and also check their corporate site for any additional openings or updates.
Connect on LinkedIn with AI Research Scientists, domain scientists, or team members in the research division at Autopoiesis Sciences by referencing recent advances in scientific AI or their AI co-scientist project as ice breakers, such as 'I’m fascinated by your work on autonomous scientific reasoning and would love to hear about your experience with multi-agent collaboration in research tasks.'
Optimize your resume for ATS by incorporating keywords from the job description such as 'distributed training systems,' 'scientific reasoning,' 'epistemology,' 'autonomous agents,' and 'machine learning code' to ensure it passes automated screenings effectively.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify the best channels to apply through, and find relevant LinkedIn connections to network with, allowing you to focus your time on preparing for interviews and deepening your expertise.
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