Remote Research Scientist (AI)

Description:

• Arsenale is reimagining industry for the neo-industrial age by building a new production infrastructure grounded in biology, intelligence, and regeneration.
• The company’s proprietary platform unites precision fermentation, advanced hardware, sensing, and AI to enable nature-aligned manufacturing at scale.
• Arsenale is seeking multiple highly skilled Research Scientists to join the Data and AI team, which are high-impact roles at the core of their AI efforts.
• The Research Scientist will lead projects involving the application of machine learning solutions across diverse domains within the company.
• The role requires close collaboration with interdisciplinary teams, including fermentation scientists and microbiologists, to bring data-driven perspectives to complex problems.
• The Research Scientist will also communicate with non-technical stakeholders to translate technical insights and develop and deploy AI systems that support Arsenale's bio-manufacturing platform.
• Additionally, the role involves contributing to scientific research and publications that advance the field.

Requirements:

• A PhD in machine learning, computer vision, NLP, or related fields is required.
• Excellent proficiency in Python and PyTorch is necessary.
• Strong analytical and problem-solving skills are essential for this position.
• The candidate must possess excellent English communication skills for both technical and non-technical audiences.
• A scientific curiosity and passion for applying machine learning to real-world challenges is essential.
• A collaborative mindset for working in cross-functional teams is required.
• The ability to adapt and work across diverse scientific domains is necessary.

Benefits:

• The position offers the opportunity to work on high-impact projects at the core of AI efforts within a pioneering company.
• Employees will have the chance to collaborate with interdisciplinary teams and contribute to innovative solutions in bio-manufacturing.
• There is encouragement for publishing impactful research, which can enhance the candidate's professional profile.
• Opportunities for open-source contributions may be available, fostering a culture of collaboration and knowledge sharing.
• The role provides a platform for scientific curiosity and the application of machine learning to real-world challenges.