BenchSci is seeking a Staff Machine Learning Engineer to join their platform architecture team, focusing on applying cutting-edge ML technology to accelerate scientific discovery. This role offers an opportunity to impact thousands of scientists worldwide through BenchSci's biomedical AI platform. The position involves working on complex ML architectures, providing technical leadership, and collaborating with multiple teams to build robust, scalable solutions.
The ideal candidate will have extensive experience in ML, particularly in NLP and LLMs, with a strong background in Python and PyTorch. They'll be responsible for high-level technical solutions, mentoring team members, and driving innovation in the company's ML infrastructure. The role requires both technical expertise and leadership skills, as you'll be working closely with R&D scientists and various stakeholders.
BenchSci, backed by major investors including Google's AI fund and Generation Investment Management, serves 16 top pharmaceutical companies and over 4,300 academic centers. The company offers a comprehensive benefits package, including equity options, health benefits, and professional development opportunities. Their remote-first culture emphasizes diversity, continuous learning, and work-life balance.
This is an excellent opportunity for an experienced ML engineer who wants to make a meaningful impact in life-saving research while working with cutting-edge technology in a supportive, growth-oriented environment. The role combines technical challenges with the satisfaction of contributing to important scientific discoveries.