Machine Learning Engineer
Job title: Machine Learning Engineer in Denver, CO at Havenly
Company: Havenly
Job description: At Havenly Brands, we believe that everyone deserves a beautiful home they love. Founded and headquartered in Denver since 2014, we've grown into the #1 interior design service in the country.We believe home is a place for personal expression - a place that can inspire, comfort, delight, and work hard for you. We believe that a home should be livable, not precious; distinctive, not bland; beautiful, but attainable. That's why we're bringing together best-in-class home brands alongside innovative designer services to offer unprecedented access to personal, inspiring design. We're building this generation's premier destination for all things home.Alongside our award winning design services, we proudly own and operate some of the best home furnishings brands in the business including Havenly, Interior Define, The Inside, St. Frank, and The Citizenry. Our family of brands is growing and we're looking for amazing people to join us on this journey!We are seeking a highly skilled and versatile individual to join our team as a Machine Learning Engineer. This role is pivotal in leveraging our proprietary data to drive the development of data-driven tools and enhance user experiences across our portfolio of interior design and ecommerce brands. The ideal candidate will be a thought partner to the business, possessing a deep understanding of both data science and machine learning techniques to identify opportunities, improve processes, and implement innovative solutions.What you'll do:
Research and apply advanced data science and machine learning techniques to tackle challenges such as building recommendation systems, enhancing chat workflows, generating images, extracting features from unstructured data, predicting trends, and more.
As part of an agile team, work to identify opportunities to leverage our proprietary data to build data driven tools and experiences
Develop, train, and deploy machine learning models, aimed at enhancing customer experiences and reinventing designer workflows
Conduct exploratory analysis to identify opportunities for developing new features
Engage in data engineering tasks, including accessing, transforming, modeling, and storing data, to facilitate machine learning training and feature development
What you'll bring:
Experience deploying machine learning models to production environments on cloud service providers (preferably GCP/AWS)
Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn.
A strong understanding of Neural Networks and their applications
Strong understanding of SQL and experience working with data warehouses such as Snowflake or BigQuery.
Experience with image processing in ML models
Demonstrated ability to perform data engineering tasks, including data access, transformation, modeling, and storage, to enable machine learning pipelines
Solid foundation in machine learning, statistics, and data analysis.
Innovative mindset with the ability to identify and pursue opportunities for the application of machine learning and data science methods.
Excellent communication skills, with the ability to work as a thought partner to various stakeholders across the business.
A Masters degree in statistics, computer science, economics, mathematics, or a related field, or 5+ years of related work experience
This role is designed for a dynamic individual who thrives in a fast-paced environment and is passionate about making a tangible impact through the power of data science and machine learning.Additional Details:
This is a full-time remote exempt position. Denver candidates have the option to work hybrid.
Targeted compensation range for this role: $160-$190/year, dependent upon experience.
Our total rewards package includes competitive compensation, generous PTO, volunteer days off, health benefits (Medical, Dental, Vision, Disability), 401K, paid Parental leave, and Fertility benefits. In addition, we offer free design services, furniture discounts, and merchandise credits.
Havenly is an Equal Opportunity Employer. Havenly's employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
Applicants must be currently authorized to work in the United States on a full-time basis.
We are NOT able to provide work sponsorship at this time.
As a company, our goal is to make everyone feel good at home and that starts right here, at Havenly HQ. We celebrate our differences and encourage everyone to bring their true selves to work each and every day. Throughout the journey of each of our team members, as a company, we take pride in and commit to ensuring that everyone feels valued, heard, welcome and has equal opportunity to thrive. With the above stated, Havenly is committed to cultivating a diverse and inclusive team. We are open to candidates of all backgrounds and encourage you to apply if interested.
Expected salary:
Location: Denver, CO
Apply for the job now!
Apply Now
Company: Havenly
Job description: At Havenly Brands, we believe that everyone deserves a beautiful home they love. Founded and headquartered in Denver since 2014, we've grown into the #1 interior design service in the country.We believe home is a place for personal expression - a place that can inspire, comfort, delight, and work hard for you. We believe that a home should be livable, not precious; distinctive, not bland; beautiful, but attainable. That's why we're bringing together best-in-class home brands alongside innovative designer services to offer unprecedented access to personal, inspiring design. We're building this generation's premier destination for all things home.Alongside our award winning design services, we proudly own and operate some of the best home furnishings brands in the business including Havenly, Interior Define, The Inside, St. Frank, and The Citizenry. Our family of brands is growing and we're looking for amazing people to join us on this journey!We are seeking a highly skilled and versatile individual to join our team as a Machine Learning Engineer. This role is pivotal in leveraging our proprietary data to drive the development of data-driven tools and enhance user experiences across our portfolio of interior design and ecommerce brands. The ideal candidate will be a thought partner to the business, possessing a deep understanding of both data science and machine learning techniques to identify opportunities, improve processes, and implement innovative solutions.What you'll do:
Research and apply advanced data science and machine learning techniques to tackle challenges such as building recommendation systems, enhancing chat workflows, generating images, extracting features from unstructured data, predicting trends, and more.
As part of an agile team, work to identify opportunities to leverage our proprietary data to build data driven tools and experiences
Develop, train, and deploy machine learning models, aimed at enhancing customer experiences and reinventing designer workflows
Conduct exploratory analysis to identify opportunities for developing new features
Engage in data engineering tasks, including accessing, transforming, modeling, and storing data, to facilitate machine learning training and feature development
What you'll bring:
Experience deploying machine learning models to production environments on cloud service providers (preferably GCP/AWS)
Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn.
A strong understanding of Neural Networks and their applications
Strong understanding of SQL and experience working with data warehouses such as Snowflake or BigQuery.
Experience with image processing in ML models
Demonstrated ability to perform data engineering tasks, including data access, transformation, modeling, and storage, to enable machine learning pipelines
Solid foundation in machine learning, statistics, and data analysis.
Innovative mindset with the ability to identify and pursue opportunities for the application of machine learning and data science methods.
Excellent communication skills, with the ability to work as a thought partner to various stakeholders across the business.
A Masters degree in statistics, computer science, economics, mathematics, or a related field, or 5+ years of related work experience
This role is designed for a dynamic individual who thrives in a fast-paced environment and is passionate about making a tangible impact through the power of data science and machine learning.Additional Details:
This is a full-time remote exempt position. Denver candidates have the option to work hybrid.
Targeted compensation range for this role: $160-$190/year, dependent upon experience.
Our total rewards package includes competitive compensation, generous PTO, volunteer days off, health benefits (Medical, Dental, Vision, Disability), 401K, paid Parental leave, and Fertility benefits. In addition, we offer free design services, furniture discounts, and merchandise credits.
Havenly is an Equal Opportunity Employer. Havenly's employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
Applicants must be currently authorized to work in the United States on a full-time basis.
We are NOT able to provide work sponsorship at this time.
As a company, our goal is to make everyone feel good at home and that starts right here, at Havenly HQ. We celebrate our differences and encourage everyone to bring their true selves to work each and every day. Throughout the journey of each of our team members, as a company, we take pride in and commit to ensuring that everyone feels valued, heard, welcome and has equal opportunity to thrive. With the above stated, Havenly is committed to cultivating a diverse and inclusive team. We are open to candidates of all backgrounds and encourage you to apply if interested.
Expected salary:
Location: Denver, CO
Apply for the job now!
Apply Now