We are looking for a Senior Machine Learning Engineer to join our growing engineering team. You’re the perfect fit for this role if you are passionate about solving problems in NLP, have a great appreciation for science and want to transform how it is done. Reporting into the Engineering Manager, Engineering.

• Continuously improve the performance and scalability of ML models that are at the core of BenchSci’s products
• Leading and providing technical direction for BenchSci’s ML team
• Work with BenchSci's Product Managers and Scientists to correctly capture the nuances of biology
• Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci
• Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements
• Proactively identify new opportunities (from both internal and external sources) and advocate for and implement improvements to the current state of projects
• Respond with urgency and drive urgency in own team to operational issues, owning resolution within one's sphere of responsibility
• Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research
• Participate in sprint planning, estimation and reviews. Take ownership of deliverables, and work with teammates to ensure high-quality deliverables

• 5+ years of software development experience
• Bachelor’s degree in Computer Science or Mathematics
• Strong experience with NLP
• Experience with computer vision problems
• A degree in computer science with a focus in machine learning and at least three years of experience in the industry
• Strong experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image
• Experience with data processing frameworks
• You have a constant desire to grow and develop
• You have strong cross-team communication and collaboration skills
• A team player who strives to see teammates succeed together

• Experience with GCP and its tools including VertexAI and BigQuery
• Experience implementing proprietary LLMs/Multimodal LLMs like Gemini or GPT series
• Experience implementing and/or fine-tuning open-sourced LLMs/Multimodal LLMs
• Research publications in ML/AI-related fields
• Background in Life Science (cell biology, molecular biology, genetics, immunology, microbiology)