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Senior Machine Learning Engineer

Clear Capital | CubiCasa

Full-time
USA
$136k-$178k per year
machine learning
engineer
python
sql
aws
Apply for this position

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.

What You Will Work On

  • 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.

Who We Are Looking For

  • 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.

What you can Expect

  • Compensation: The base salary for this position ranges from $136,000 to $178,000 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. 

  • Inclusive benefits package offering: 

  • 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 (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.

  • Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.

  • Career and skill development resources to help advance your career and personal growth.

  • A mission-driven environment where your work makes a measurable impact on the real estate industry.

What We Value

  • Wherever it Leads, Whatever it Takes® -  No matter how remote, complex, or unexpected. Our commitment never wavers.

  • Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.

  • Lift others up - We lead with empathy and strive to improve the lives of those around us.

  • Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.

  • Raise the bar -  We don’t settle for industry standards, we redefine them.

About Us

Our story began in the mountain town of Truckee, California more than 20 years ago,  when we pioneered simple, web-based valuation technology solutions for an industry that relied on paper. Today, we’ve grown one of the highest-coverage networks of real professionals in the county. As we continue our journey to modernize valuation we’ll hold on to our promise from day one: to go wherever it leads and do whatever it takes to serve our customer with remarkable technology and uncompromising service. 

Clear Capital is an equal-opportunity employer.

To all recruitment agencies: Clear Capital does not accept agency resumes. Please do not forward resumes to our jobs alias, Clear Capital employees, or any other company location. Clear Capital is not responsible for any fees related to unsolicited resumes.

Apply for this position
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About the job

Full-time
USA
$136k-$178k per year
Posted 3 weeks ago
machine learning
engineer
python
sql
aws

Apply for this position

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Senior Machine Learning Engineer

Clear Capital | CubiCasa

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.

What You Will Work On

  • 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.

Who We Are Looking For

  • 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.

What you can Expect

  • Compensation: The base salary for this position ranges from $136,000 to $178,000 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. 

  • Inclusive benefits package offering: 

  • 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 (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.

  • Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.

  • Career and skill development resources to help advance your career and personal growth.

  • A mission-driven environment where your work makes a measurable impact on the real estate industry.

What We Value

  • Wherever it Leads, Whatever it Takes® -  No matter how remote, complex, or unexpected. Our commitment never wavers.

  • Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.

  • Lift others up - We lead with empathy and strive to improve the lives of those around us.

  • Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.

  • Raise the bar -  We don’t settle for industry standards, we redefine them.

About Us

Our story began in the mountain town of Truckee, California more than 20 years ago,  when we pioneered simple, web-based valuation technology solutions for an industry that relied on paper. Today, we’ve grown one of the highest-coverage networks of real professionals in the county. As we continue our journey to modernize valuation we’ll hold on to our promise from day one: to go wherever it leads and do whatever it takes to serve our customer with remarkable technology and uncompromising service. 

Clear Capital is an equal-opportunity employer.

To all recruitment agencies: Clear Capital does not accept agency resumes. Please do not forward resumes to our jobs alias, Clear Capital employees, or any other company location. Clear Capital is not responsible for any fees related to unsolicited resumes.

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