Senior Software Engineer II, Machine Learning

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range:

What’s the role?

The individual in this role will lead projects in the ML Enablement - Models team to bring the latest innovative MLOps solutions to internal customers (Search, Ads, Personalization, and Trust/Safety) and enable them to experiment and iterate faster.
 

This senior-level individual would be expected to take ownership and accountability for medium to high complexity initiatives that impact ML modelers and engineers across the company. They must possess a high level of expertise and proficiently in ML and MLOps domains.
 

This is a full-time position reporting to the Senior Engineering Manager.  In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our 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. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our  work modes and workplace safety policies here.

What’s this team like at Etsy? 

The Models team is a medium size organization with a focus to deliver robust technology and platform solutions across ML model lifecycle from training, optimization, deployment, and inference. The team’s aim is to enable our customers to experiment, iterate faster and productionize ML models, and integrate them into the Etsy tech stack.

What does the day-to-day look like?

• The day-to-day work comprises software architecture development and design, assisting with initiative planning at macro (yearly/quarterly) and tactical (sprint-level) scale, leading software development toward the project and team’s goals, and leading production support for internal services

• Additionally, this individual will represent their team’s work in planning, project coordination, and technical leadership. They would be responsible for mentorship of the team colleagues and raising the technical caliber of the team.

• 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:

The ideal candidate brings broad experience building internet scale systems with ML and MLOps:

• Hands-on ML modeling and training experience with PyTorch and/or Tensorflow, coupled with solid theoretical foundations of ML/DL models in ranking/recommendation systems, and LLMs (plus).

• Programming languages: Python, Java or Scala (plus)

• ML/DL Frameworks: Tensorflow, PyTorch, Spark, Airflow, Kubeflow.

• Platform: Terraform, GCP and GCP VertexAI, AWS and AWS AI platform (plus), Monitoring/Observability, experience with production support tools of internet scale systems.

• Solid knowledge of compute and memory architectures, experience with compute clusters and distributed systems in the public cloud.

• Back-end engineering: hands-on experience designing, implementing, deploying and supporting in production of complex systems based on the microservice architecture. Experience with performance, cost analysis and optimization.

• Breadth of knowledge of the MLOps ecosystem: vendors, technologies and algorithms, SOTA optimization techniques.

The ideal candidate is a leader:

• Humble and supportive to mentor others and raise the bar for the team

• Comfortable proposing and taking calculated risks

• Execution focused and attentive to details

• Great interpersonal skills to build working relationships across multiple organizational levels

• Clear and empathetic communicator with ability to influence and motivate

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.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.