Senior MLOps Engineer

Summary

Join Kiavi, a leading private lender to residential real estate investors, as an MLOps Engineer. You will design and implement machine learning platform features for our data scientists, working with various models and technologies like Databricks and MLFlow. This role requires a strong background in data science and MLOps, experience with online and offline models, and proficiency in big data technologies. The position offers competitive pay, benefits, and a hybrid remote work policy. Kiavi is committed to building diverse teams and providing a supportive work environment. The salary range varies based on location, with options for remote work in approved regions.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field
• Experience building and testing ML models
• Experience developing and maintaining CICD Pipelines in tools like CircleCI, Jenkins, or BuildKite
• Hands-on experience with big data technologies such as Spark and Hive
• Advanced expertise in SQL and NoSQL databases
• Experience with Airflow or similar workflow orchestrators
• Familiarity with AWS, Azure, or GCP concepts
• Proven ability and aptitude for learning and applying new technologies in your work
• Strong knowledge of data structures, algorithms, and software design principles
• Excellent problem-solving skills and attention to detail
• Good written and verbal communication skills
• Ability to work in a fast-paced, collaborative environment

Responsibilities

• Experience with online (real-time) and offline (batch) models in large production environments
• Develop and maintain machine learning models, CICD solutions, and feature stores
• Collaborate with cross-functional teams, including Data Engineering, Data Science and DevOps, to ensure seamless data integration
• Participate in code reviews, ensuring code quality and best practices are followed
• Implement automated solutions to monitor and optimize data processing systems to ensure they operate efficiently and effectively
• Document and communicate data engineering solutions and processes to relevant stakeholders
• Work closely with other teams to identify opportunities for automation and process improvement

Preferred Qualifications

• Experience with Databricks and PySpark
• Experience with containerization tools such as Docker or Kubernetes
• Maintaining and implementing feature stores for machine learning models

Benefits

• Medical, Dental, and Vision Insurance: Kiavi offers free employee-only coverage for medical, dental, and vision plans. Dependents receive a heavily discounted premium, competitively placed in the 90th percentile for cost
• Health Savings Account (HSA): For those enrolled in a High Deductible Health Plan (HDHP), Kiavi provides an annual employer contribution to HSAs: $500 for individual coverage and $1,000 for dependents
• Disability and Life Insurance: Immediate access to short-term and long-term disability insurance, as well as group life and AD&D insurance, with coverage at 1x annual salary
• Remote Work Policy: Kiavi supports working remotely for day to day activities for most roles and occasionally may ask employees to gather in person for key meetings, trainings, team building etc. For remote workers, Kiavi offers a one-time office setup reimbursement of up to $500 and a monthly $85 stipend for internet and phone expenses. For in-office workers, Kiavi offers employer contributions to commuter benefits account, either for parking or public transportation
• Flexible Time Off: Employees are empowered to manage their own time off, with no strict limits, as long as it's approved by their manager
• Paid Leaves: Up to 8 weeks of paid leave for medical or caregiver purposes, and 12 weeks of paid maternity/paternity leave. Short-term disability leave is also available for birthing mothers
• 401(k) & Company Match: A 401(k) plan managed by Fidelity, with Kiavi matching 100% of contributions up to 3% of compensation or $6,000 (whichever is less). All employer contributions are immediately vested
• Product Ownership: All employees think like an owner because all employees play a critical role in making our business great. Many roles are eligible for stock option grants