Remote Senior Machine Learning Engineer

Description:

• We are a production team dedicated to supporting and enhancing production modeling systems.
• Our focus is on building the most accurate models with state-of-the-art modeling technology.
• We build core infrastructure and pipeline capabilities that ensure seamless data flow into our models.
• We support the scaling and development of model prototypes in production environments.
• Our goal is to create 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.
• Responsibilities include leading the development of modeling complex, real-world problems, developing complex data pipelines to support production systems, and bringing machine learning algorithms into production.
• The role also involves monitoring and maintaining production machine learning data pipelines.

Requirements:

• A minimum of 5 years of experience in machine learning model development, building data pipelines, and robust machine learning software systems is required.
• Strong and in-depth knowledge of various modeling techniques and machine learning frameworks is essential.
• A strong understanding of machine learning pipelines, including standardization, normalization, clustering, modeling, scoring, and validation is necessary.
• Candidates must have strong knowledge of relational databases.
• Proficiency in Python, R, and SQL is required.
• A strong knowledge of distributed systems configuration and production maintenance is needed.
• Understanding of ETL engineering and tools to interface with data teams is important.
• Candidates should have an understanding of data design principles across multiple different storage systems.
• Working knowledge of AWS is required.
• Ability to parse and manipulate a variety of different datasets and formats is necessary.
• The ideal candidate is a self-starter with the ability to distill ambiguity into working results.
• Autonomy and willingness to take responsibility are important traits.
• Candidates should be quick iterators, continuous learners, and comfortable in a fast-paced environment.
• Good communication skills and willingness to work cross-functionally with other engineering teams are essential.
• Strong problem-solving skills and the ability to work effectively in a team are required.

Benefits:

• The base salary for this position ranges from $136,000 to $178,000 annually, depending on location, experience, and qualifications.
• Additional compensation offerings include a company profit-sharing bonus program, communication stipends, and referral bonuses.
• An inclusive benefits package is offered, including comprehensive medical, dental, and company-paid vision insurance.
• A 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, and supplemental insurances for accident, critical illness, and legal services are included.
• Paid time off (PTO) and paid holidays, employee assistance and wellness programs, and company-paid short-term disability coverage are provided.
• Company contributions to health saving funds are available with participation in the high deductible health plan.
• Access to virtual primary care and mental health resources is provided through company-paid services.
• The Anniversary Program celebrates meaningful milestones and long tenure, reflecting the value placed on contributions and commitment.
• Career and skill development resources are available to help advance career and personal growth.
• The work environment is mission-driven, making a measurable impact on the real estate industry.