Senior ML Engineer, Product

• Develop and maintain reusable ML pipelines and systems, ensuring models are well-integrated with other systems via comprehensive testing and documentation
• Collaborate closely with cross-functional teams to provide critical input on technical direction
• Strong focus on model monitoring and optimization, building systems for performance tracking, drift detection, alerting, and resource optimization
• Set up deployment infrastructure including setting up APIs and implementing automated monitoring and deployment processes
• Be a steward of good instrumentation and experimental design
• Build and manage data labeling and data ingestion frameworks, optimizing workflows to improve the agility of data pipelines and data scientists' experiences
• Become an expert on our members
• Maintain a high technical bar by mentoring junior team members, participating in code reviews, and ensuring quality in production systems

• 5+ years of professional experience working in a data science or machine learning engineering capacity
• Proficient in SQL, Python and have strong software engineering skills regardless of specific language
• Evidenced experience working within engineering teams to build software is an absolute must
• Collaboration and communication are a first instinct and key tool for getting stuff done
• Enthusiastic and avidly research the cutting edge solutions in the world of ML — experience with tools such as RAG and LLM evaluation techniques are essential
• Excellent writing, presentation, and communication skills
• Deep experience in several of the following in a professional capacity: building generative AI applications, computer vision, deep learning architectures, anomaly detection, reinforcement learning, feature engineering at scale, MLOps and model deployment, distributed computing with big data, or system design and architecture

Experience in fintech, banking, or finance is a plus

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)
• bonus