Machine Learning/DevOps Engineer II

Remote, United States

Extend

Extend Product Protection and Shipping Protection give brands a new source of revenue while increasing customer loyalty and trust. Zero cost. Pure profit.

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About Extend:

Extend is modernizing the $100 billion-per-year protection plan industry using cutting-edge technology and top-notch customer service. 

Our technology-forward omnichannel and API-first solution allows any merchant to offer protection plans, both online and in store, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. More recently, Extend also launched a shipping protection solution, covering consumers in the case of lost, damaged or stolen packages. This is further expanding the company’s addressable market and value creation for merchants.

We are a venture-backed startup in downtown San Francisco led by founders who have previously had multiple successful exits. Extend simplifies the technology stack for the product and shipping protection industries.

Position Title:                       Machine Learning/DevOps Engineer II

Position Location:               353 Sacramento Street, Suite 2200, San Francisco, CA 94111

Hours:                                   Monday – Friday, 8:00 am to 5:00 pm

Summary of Duties: 

  • Create reusable infrastructure components using infrastructure-as-code technologies to allow teams to manage their own infrastructure needs.
  • Design Data/Machine Learning pipelines to transform Data/Machine Learning features.
  • Mature the CI/CD pipeline to enable teams to scale in a self-service way to help reduce deployment cost and time.
  • Collaborate with product engineering teams to design scalable infrastructure and deployment patterns for customer facing solutions.
  • Act as an expert in AWS technologies by providing guidance on appropriate AWS solutions to address business needs.
  • Write Python code to manipulate data and provide APIs for internal services.

MINIMUM REQUIREMENTS: Bachelor’s degree in Computer Science, Data Science, Information Systems, a closely related field or foreign equivalent plus 2 years’ experience as a Data Analyst/Engineer, DevOps Engineer, or closely related position.

SPECIAL SKILLS OR OTHER REQUIREMENTS:

*Position can be performed remotely anywhere in the U.S.

Experience must include: 

  1. Design data pipelines to transfer to transform/deploy machine learning algorithms.
  2. Experience with Python and R.

Estimated Pay Range:  $138,750 - $161,250 annually*

*The target base salary range for this position is listed above.  Individual salaries are determined based on a number of factors including, but not limited to, work location and job-related knowledge, skills and experience.

 

 

#LI-DNI

Life at Extend:

  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Very generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

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Tags: APIs AWS CI/CD Computer Science Data pipelines DevOps Engineering Machine Learning Pipelines Python R

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  13  4  0

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