Staff Machine Learning Engineer I - Ciudad de México - Etsy

Etsy

Empresa verificada

Ciudad de México

hace 1 semana

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

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

Job Description:

What's the role?
Etsy is hiring a Staff Machine Learning Engineer to join the Risk Engineering organization.

Our team keeps Etsy a safe and trusted marketplace by building complex and scalable Machine Learning technologies to detect and prevent risk and fraud.

This is a full-time position reporting to the Engineering Manager, Risk Decisioning, Trust & Safety Engineering.

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.

This role requires your presence in Etsy's Mexico City office in an in-person or flex capacity. Learn more about our Flex and Office-based work modes and workplace safety policies here.

What does the day-to-day look like?

Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.) using machine learning techniques like deep neural networks, graph ML, unsupervised and semisupervised anomaly detection.
Take ideas and scale them to millions to users. Develop and implement endtoend plans, including idea generation, project planning, model development, production model serving, and ownership of model performance.
Architect new and improve on existing ML systems, including building data architectures (e.g. largescale graph data processing and storage), enabling faster and more robust model development, and improving model serving and orchestration.
Provide technical leadership on longterm strategy, roadmap, ML design, and system architecture.
Help to coach and mentor more junior team members.
Collaborate with team members and crossteam partners for problem identification, technical design/delivery, and product operationalization.
Prototype, optimize, and manage largescale ML models that help deliver key results.
Conduct A/B experiments to validate the effectiveness of ML models and pipelines.
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.

Qualifications:

Qualities that will help you thrive in this role are:

You have experience building ML models in the fraud/risk management space.
Experience deploying, debugging, and finetuning machine learning models in largescale production systems in public clouds, with experience in Infrastructure as Code.
You are comfortable with using git, Linux environments, dockers, and other tools for writing robust, productionready code.
You have focused experience deploying models in production at scale like unsupervised anomaly detection, graph neural network, deep learning, natural language processing, or reinforcement learning.
Google Cloud Platform (GCP) experience is a plus

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 and is an affirmative action employer.

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.