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Senior Machine Learning Engineer
2 months ago
This is a hybrid role so candidates must be local to Seattle We are looking for a Senior Machine Learning Engineer that will contribute to the creation of a cutting-edge financial technology platform. We value individuals who exhibit ownership mentality, possess a thirst for learning, demonstrate resilience, and uphold integrity and empathy. Your unique skills and passion are paramount; even if your experience doesn't perfectly align with our requirements, we encourage you to apply. Diverse perspectives and a willingness to challenge conventions are embraced in our culture.
What You'll Do:
- Comprehend business objectives and product requisites, crafting ML algorithms to fulfill them.
- Develop prototypes and proof of concepts to gauge feasibility, steering decisions based on data.
- Conduct experiments to evaluate performance and enhancements.
- Propose ideas and alternatives to enhance products or features.
- Establish strategies for data and feature validation.
- Deploy models into production systems and manage them, including monitoring and troubleshooting.
- Architect, construct, and oversee data pipelines and infrastructure for processing large volumes of transactional and customer data from diverse origins.
- Scale and deploy machine learning models and applications across production and lower environments.
- Ensure data integrity, security, and accessibility across various components including data, notebooks, models, experiments, and applications.
- Integrate ML models with our SaaS platform and other services and tools such as the model registry, feature store, data lake, and event streams.
- Collaborate with data scientists in model development and testing.
- Conduct code reviews to uphold code quality, maintainability, and adherence to coding standards.
- Provide on-call support, participating in the team's on-call rotation and addressing production issues from root cause analysis to resolution and future prevention.
- Collaborate with cross-functional teams (engineering, product, design, security, compliance, etc.) to materialize ideas.
- Engineer secure, resilient, scalable, and high-performing systems for transaction processing and customer data management.
What You'll Need:
- Bachelor's in CS or equivalent education with a minimum of 3+ years of relevant professional experience or an advanced degree such as a master’s or PhD.
- Experience leading projects from architectural design to production, maintaining high technical standards within your team.
- Strong communication and collaboration skills, fostering effective teamwork with both your team and cross-functional stakeholders.
- Familiarity with data management, data pipelines, and machine learning model building and deployment.
- Proficiency in AWS, Snowflake, Databricks, or similar technologies.
Preferred Qualifications:
- 7+ years of relevant professional experience or a blend of work experience and advanced education.
- Deep expertise in a specific area of Machine Learning and AI.
- Experience with financial services data sources.
- Familiarity with MLflow and Feast or other Feature Stores.
- Proficiency in modern development frameworks and languages (e.g., Java, Python, Go).
- Ability to independently drive technical work and scope projects effectively.
- Experience mentoring junior engineers.
- Proficiency with cloud platforms (AWS, Azure, GCP).
- Familiarity with version control systems (Git) and DevOps practices like CI/CD.
What We Offer:
We recruit top talent and in return offer exceptional benefits including:
- Opportunities to innovate in fintech.
- Tools for personal and professional growth.
- Inclusive and diverse work environment.
- Resources to contribute to your community.
- Competitive salary and benefits.
