Staff Engineer - Machine Learning, NLP (Remote)

BenchSci is seeking a Staff Machine Learning Engineer to join their platform architecture team. This role offers an opportunity to apply state-of-the-art ML to shape the future of scientific discovery, directly impacting BenchSci's mission to exponentially increase the speed and quality of life-saving research and development.

Reporting to the Head of the Platform Architecture Group, you will:

• Work on complex ML architectures (model and data pipeline level)
• Be responsible for high-level design of end-to-end technical solutions
• Collaborate closely with ML teams, providing guidance and mentorship
• Set technical direction throughout the ML Development Lifecycle
• Design ML Architecture across multiple teams for robust, scalable solutions
• Write, review, and approve ML and Data technical documentation
• Contribute to the ML and Data roadmap
• Improve workflows with latest optimizations in libraries like PyTorch
• Own ML solutions and long-term technical investments
• Lead technical design discussions and apply best practices
• Promote coding guidelines and raise the bar for code quality
• Provide guidance to senior engineers and foster continuous growth
• Work cross-functionally with stakeholders including R&D scientists

Requirements:

• 8+ years of professional experience in ML, with 2+ years at Staff Engineer level
• Strong experience with NLP, LLMs, Python, and PyTorch
• Track record of delivering robust, scalable ML models
• Experience with full ML development lifecycle
• Expertise in data manipulation, Cloud solutions, and MLOps
• Strong communication and collaboration skills

BenchSci offers a comprehensive benefits package, including equity options, vacation policy, health benefits, learning budget, and more. The company is backed by major investors and serves top pharmaceutical companies and academic centers. BenchSci values diversity, equity, and inclusion, fostering a culture of continuous learning and personal growth.

Join BenchSci to work on high-impact projects with skilled experts, driving innovation in life-saving research and development.