Candidates should have at least 8 years of experience in software engineering, with a proven track record in SaaS, fintech, or related fields. Deep expertise in modern software development practices and a broad range of technologies and frameworks is required, along with demonstrated problem-solving skills.
Candidates should have a BS or MS in Business, Engineering, Life Sciences, or a related field. A minimum of 1-3 years of experience in startups, operations, consulting, or project management is required, along with a proven ability to execute ambitious projects efficiently and with attention to detail. Familiarity with AI tools and automation workflows is essential, as is an analytical mindset with experience in financial modeling and data analysis. Strong operational skills, a self-starter ment…
Candidates should be currently pursuing or have recently completed a BS or MS in Biology, Biotechnology, Life Science Engineering, Chemical Biology, or a related field. Some hands-on experience in molecular biology techniques through coursework, research projects, or internships is required. Proficiency in Python scripting for data analysis and workflow automation is essential, along with strong organizational skills and attention to detail.
Candidates should have a strong background in experimental biology, bioengineering, or a related field, with hands-on experience in in vitro protein characterization techniques such as binding affinity assays, thermostability analysis, and aggregation studies. Excellent communication skills are required to translate complex scientific concepts into actionable insights, along with a self-starter mentality and strong proficiency with software and data analysis tools.
Candidates should possess a strong background in molecular biology or a related field, along with experience in protein design or assay automation. A passion for innovative technology and the ability to work independently are essential.
Candidates should possess a strong background in software engineering, specifically with experience in Rust and Python. Familiarity with high-performance computing, distributed systems, and reinforcement learning is essential. Experience with GPU programming using Triton or CUDA, as well as a proven ability to conduct systematic empirical research, is preferred. A self-driven and business-minded approach, along with excellent written communication skills, is required.
Candidates should have a M.Sc. or Ph.D. in computer science or demonstrated experience in software engineering, particularly with a focus on GPU optimization. Strong programming skills in systems and general-purpose GPU programming are required, along with a proven track record of writing high-performance kernels and achieving state-of-the-art performance.
Candidates should have experience in solutions engineering or a related technical field. Strong understanding of reinforcement learning and experience with large language models is preferred. Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders are essential.