Senior ML Engineer I

Key Skills

AWS, Azure, CloudFormtion, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Terraform

Job Description

What’s the role?

We are looking for Senior Machine Learning Software Engineer to join the Delivery Accuracy team within our Fulfillment initiative.

As the Senior Machine Learning Software Engineer you will be responsible for diving into the nuance of Etsy’s fulfillment data to generate ML solutions that help generate real-world predictions for complex calculations such as delivery speed and cost. You’ll be working closely with both Full Stack Engineers and Machine Learning Engineers to bridge the gaps between how we capture data and how we utilize it to build models that can deliver value to end users. You and your team will be responsible for the full cycle of fulfillment-related Machine Learning model development: devising, training, testing, releasing, observing, and optimizing.

This is a full-time position reporting to Core Fulfillment’s Senior Engineering Manager and the base salary range will be 152,000.00 - 178,000.00 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, andour competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policieshere.

What’s this team like at Etsy?

The Delivery Accuracy team sits within the Core Fulfillment initiative, which is a group that helps sellers manage and fulfill their orders, while also setting buyer expectations around fulfillment so they can make well-informed purchase decisions. The Delivery Accuracy team’s focus is to utilize data to ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.

What does the day-to-day look like?

• Collaborate closely with Engineers, Product Managers, and Data Analysts to develop solutions to help sellers better run their businesses and remain competitive.
• Collaborate with our cross-functional teams and business partners across Etsy.
• Help plan and develop innovative solutions to complex business problems.
• Develop with an eye on quality, using performance monitoring tooling, automated and manual testing, and observability tools to verify the correctness and quality of your work.
• Establish and maintain monitoring and alerting systems around Machine Learning for Fulfillment.
• Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

• Experience making products with public cloud providers, such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure
• Ability to leverage infrastructure as code tools such as Terraform, CloudFormation, and similar tools.
• Successful track record of collaboration with distributed teams of both technical and non-technical individuals
• Experience working with production systems around Machine Learning models at scale
• Enjoy thinking about the implications of your work on end users. You are comfortable collaborating with Product Managers to ensure that you’re delivering impactful product features.
• Have excellent communication skills, and are enthusiastic and forward-looking!
• Are invested in Etsy’s vision, mission and values.

Additional Information

What's Next

If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.