About the Role
We are seeking a skilled research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally.
About You
You collaborate with cross-functional teams to understand requirements and translate them into technical specifications for AI model development. You implement and maintain state-of-the-art AI models for drug discovery tasks, leveraging frameworks such as PyTorch. You profile and optimize AI models in training and inference contexts. You integrate AI models into scalable pipelines and systems, ensuring robustness, reliability, and scalability for real-world applications. You stay abreast of the latest advancements in AI, machine learning, and drug discovery, and proactively identify opportunities for innovation and improvement. You contribute to technical documentation, reports, and presentations to communicate findings, methodologies, and insights clearly and effectively.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, or related fields.
- Minimum of two years of industry experience in AI, machine learning, or related roles, with a track record of successfully implementing and deploying AI models in production environments.
- Proficiency in programming languages such as Python, and experience with relevant libraries, toolchain and frameworks for AI model development.
- Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics.
- Familiarity with drug discovery processes, computational chemistry, or bioinformatics is desirable.
- Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in healthcare.
- Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
Preferred Qualifications
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross-functionally on an interdisciplinary team.
- Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.
If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!
We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply.
Compensation
The specific compensation package for this role depends on experience, qualifications and level. We anticipate the range for this role to be $160,000 to $220,000 per year.
Xaira Therapeutics is an equal opportunity employer. We thrive on diversity and collaboration, and we welcome candidates with diverse backgrounds and experiences.
Top Skills
What We Do
Xaira Therapeutics is an integrated biotechnology company driving advances in artificial intelligence to learn the language of life and transform how we treat disease. The company seeks to rethink the drug discovery and development process from end-to-end by bringing together leading talent across three core areas: machine learning research to better understand biology, expansive data generation to power new models, and robust therapeutic product development to treat disease. Xaira is headquartered in the San Francisco Bay Area
