Who you are

• Deep Expertise in Information Retrieval (IR): Strong expertise in information retrieval techniques (e.g., BM25, dense retrievers, hybrid methods) and an ability to optimize them in production
• Evaluation Expertise: Hands-on experience with IR evaluation metrics (e.g., Precision, Recall, MAP, MRR)
• Hands-on Experience with LLMs and Embeddings: Familiarity with LLMs and vector embeddings, including fine-tuning or adapting models for domain-specific retrieval tasks
• Proficiency in Python: High proficiency in Python, with experience building production-quality data or ML systems
• System Design Skills: You can architect and build scalable information retrieval systems and understand the trade-offs of different design choices
• 4+ years of professional software engineering experience, ideally in roles bridging ML/IR and backend development
• Infrastructure and Ecosystem: Exposure to cloud ecosystems (Google Cloud, BigQuery, Spanner, Vertex AI)
• Applied Machine Learning: You have experience tuning embedding models, training and evaluating reranker models, and are comfortable with A/B testing and online evaluation
• Data and Knowledge Graphs: You have experience with graph databases and knowledge graph-based retrieval

What the job involves

• We are currently looking for a Senior Software Engineer, Data to join our GenAI and Web Applications Team
• Reporting to the team’s Engineering Manager, you'll work on complex projects focused on advancing our core search retrieval and ranking capabilities
• You'll contribute to our backend initiatives and collaborate with other engineers and scientists to develop intelligent solutions for our software as a service (SaaS) products, helping scientists Save time and increase their experiment quality
• Design, implement, and optimize Conversational AI retrieval and evaluation systems in collaboration with data engineers, product managers, and scientists. This includes technical investigations, solution design, scalable implementation with automated tests, and participation in code reviews
• Troubleshoot and resolve retrieval and embedding-related issues in a timely manner
• Establish and uphold high standards forretrieval quality, evaluation rigor, and team culture, ensuring outcomes align with scientific and business goals
• Be given an unmatched opportunity for accelerated growth and learn from a team working on cutting-edge IR + LLM applications in biomedicalresearch
• Work on projects that directly support some of the largest pharmaceutical companies in the world, improving their ability to discover and apply biomedical knowledge
• Tackle difficult IR/LLM challenges and contribute new ideas and perspectives to advance our retrieval platform

Benefits

• An engaging remote-first culture that hires the best talent from around the world
• Compensation package that includes BenchSci equity options
• Comprehensive health and dental benefits with an emphasis on mental health
• An annual Executive Health Assessment at Medcan for proactive health awareness
• Three weeks of vacation plus an additional day for every completed year
• A $2000 Annual Learning & Development budget
• Generous parental leave benefits with a top-up plan or paid time off options
• Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
• A $1000 work from home allowance to make your home setup perfect for you
• An Oculus Quest 2 to connect with your team members in Virtual Reality
• An executive coach for managers to assist in leading high-performing teams
• Complimentary Headspace account to support mental wellness and focus
• Complimentary genome sequencing from 23andMe to better understand your health through your DNA