Machine Learning/DevOps Engineer II
Remote, United States
Full Time USD 138K - 161K
Extend
Extend Product Protection and Shipping Protection give brands a new source of revenue while increasing customer loyalty and trust. Zero cost. Pure profit.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:
- Design data pipelines to transfer to transform/deploy machine learning algorithms.
- 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.
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
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