Description

We’re on a mission to help guys take care of their minds and bodies so they can be their best selves. We started with razors way back in 2011, and now millions and millions of Members later, we’ve expanded into a variety of products including skincare, hair styling, oral care, colognes, deodorants, and more. We’re always growing and reinventing, and we rely on killer talent to help us achieve our goal of owning the bathroom. If you’re a team-playing innovator, you’ll fit right in. A sense of humor helps, too. 

 

We’re seeking a Software Engineer who specializes in ML Ops, ML platform development, and streaming and batch data pipelines. This Data Engineer will be a member of the Data Science & Engineering Team, a COE for Machine Learning, Predictive Analytics and Data Compute Systems. They will primarily operate within the team to build out our DSC ML Platform built on top of Kubeflow and AWS. They will secondarily operate across teams to architect and pipeline the data systems underlying the DSC ML Platform and DSC Data as well as all the specific types of systems and integrations needed to create maximum ML Business Impact.  The DSC ML Platform comprises data scientist dev and autoML environments, ML deployment operations, Business Experimentation and Reinforcement Learning Systems, and Customer Personalization Systems. The Data Engineer must communicate and work within the team with data scientists as primary stakeholders and eCommerce platform engineers as integration stakeholders as well as with product managers to ingest and surface Business-centric ML data. Key to success in this role will be a strong intuitive grasp of data processing systems and software design and the willingness to research and apply new technologies and architectures in order to meet innovative ML and business goals.


RESPONSIBILITIES: 

  • Maintain and Improve upon our DSC ML Platform built on:
    • AWS: Redshift, Spectrum, S3, Glue, Kubeflow, Sagemaker, AutoML, Python, Spark 
    • Distributed messaging, streaming, and compute platforms (Kafka, Spark, API micro- services)
  • Design and implement data applications on cluster computing and streaming engines
  • Design and implement data processing microservices and pipelines
  • Integrate with our vendors to collect and ingest 2nd and 3rd party data into our data lake
  • Work with data scientists to enhance our software with the latest in machine learning algorithms and predictive models
  • Collaborate to ensure the integrity and cleanliness of data sources, and to support the requirements of downstream data consumers
  • Mentor and guide team members
  • Establish and communicate team standards and best practices
  • Collaborate in a cross-functional squad with business stakeholders, product managers and engineers from other teams to create data-enabled features in both internal and customer-facing applications

QUALIFICATIONS:

  • Enthusiasm to work in a fast-paced engineering team
  • BS or MS in Computer Science or a related technical field; or equivalent work experience
  • 4+ years of prior experience with general software development
  • 3+ years experience working with data infrastructure in several of the categories listed above
  • 1+ years working on ML Infrastructure or Data Science Platform development
  • Fluency in SQL, Presto-SQL or equivalent query language
  • Expertise in Python, Java, Scala or similar programming languages
  • Experience working in the following domains is preferred: data mining, machine learning, statistical modeling, distributed systems, stream processing, data warehousing
  • Expertise with the following is a big plus: Kubeflow, Kubernetes, Docker, CI/CD, Spark, EMR, Kafka, Samza, Redshift, Airflow 


DSC CULTURE:

We work in an open-air, freshly renovated office in the heart of Silicon Beach. As we disrupt industries and unseat corporate giants, our plan is to think big, but stay small.  No egos. No jerks. No prima donnas. Just awesome folks who live and breathe collaboration and dig the perks like haircuts, weekly food trucks, and team happy hours. And yes, we have snacks.

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Dollar Shave Club is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identification, national origin, disability, or protected veteran status.

 

Reasonable Accommodation: Dollar Shave Club provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request in order to express interest in a position by e-mailing: accommodations@dollarshaveclub.com 

Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within Dollar Shave Club will be reviewed at the e-mail address supplied.


Dollar Shave Club will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.

Thank you for considering a career with Dollar Shave Club

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