Senior Machine Learning Engineer

Job Description

We are a production team dedicated to supporting and enhancing production modeling systems. Our focus is on building the most accurate models with the state-of-the-art modeling technology. We build core infrastructure and pipeline capabilities that ensure seamless data flow into our models. We also support the scaling and development of model prototypes in production environments. Our goal is to create the top-notch Machine Learning products in the real estate industry. We are seeking a Senior Machine Learning Engineer to lead the design, development, and implementation of our machine learning products.

Key Responsibilities

• Lead the development of modeling complex, real-world problems.
• Lead the development of complex data pipelines to support production systems.
• Lead the development efforts to bring machine learning algorithms into production.
• Monitor and maintain production machine learning data pipelines.

Qualifications

• Minimum 5 years experience in machine learning model development, building data pipelines and robust machine learning software systems.
• Strong and in-depth knowledge of various modeling techniques and machine learning frameworks.
• Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation.
• Strong knowledge of relational databases.
• Strong Knowledge of Python, R, and SQL.
• Strong knowledge of distributed systems configuration and production maintenance.
• Understanding of ETL engineering and tools so you can interface with data teams.
• Understanding of data design principles across multiple different storage systems.
• Working knowledge of AWS.
• Parsing and manipulating a variety of different datasets and formats with glue magic.
• Self Starter with the ability to distill ambiguity into working results.
• You want autonomy and are willing to take responsibility.
• You iterate quickly and are a continuous learner and are comfortable in a face-paced environment.
• Good communicator and willing to work cross-functionally with other engineering teams across the organization.
• Strong problem-solving skills and the ability to work effectively in a team.

Salary & Benefits

Salary: $ 136000 - $ 178000

• Comprehensive medical, dental, and company paid vision insurance
• 401(k) retirement plan with employer match
• Voluntary life and AD&D insurance options
• Voluntary supplemental insurances for accident, critical illness, and legal services
• Paid time off (PTO) and paid holidays
• Employee assistance and wellness programs
• Company paid short term disability coverage
• Company contributions to health saving funds
• Company paid access to Galileo for virtual primary care and Rula for virtual mental health resources
• Career and skill development resources

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