Senior Staff Engineer, Machine Learning II

Reposted 7 Days Ago
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Chennai, Tamil Nadu
In-Office
Senior level
Consumer Web • eCommerce • Fashion • Retail
Poshmark is a pioneer in social commerce, connecting sellers and shoppers to extend the lifecycle of their items.
The Role
Poshmark seeks a Senior Staff Engineer in Machine Learning II to drive innovation and impact while fostering a thriving, diverse workplace.
Summary Generated by Built In

Confidence can sometimes hold us back from applying for a job. Here’s a secret: there's no such thing as a "perfect" candidate. Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.

Job Description:

Staff Engineer Machine Learning
 

Big Data team is a central player in the Poshmark organization. Our mission is to

build a world-class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business, build data and ML pipelines to fuel existing and new business critical initiatives. 

We are looking for exceptional, creative and passionate Machine Learning engineers to join our ML and Big Data Team. You will be responsible for building and owning the next-generation of algorithms and systems that would have critical business impact for Poshmark and improve the user experience for our millions of users

Responsibilities
  • Explore large datasets, research and develop algorithms/models to solve interesting business problems. 

  • Design and code highly scalable, machine learning applications processing large volumes of data. 

  • Collaborate  with multiple teams - data science, business, engineering and help deliver Machine learning based Data products across the company. 

  • Develop best practices and tools to enable robust delivery of features

  • Design and improve architecture in order to ensure horizontal scalability at all layers

Ideal Candidate
  • Strong background in Machine Learning with deep understanding of algorithms and modeling techniques
  • 8+ years of overall software development experience with at least 5+ years  of industry experience applying Machine Learning to concrete problems
  • Great coding skills and strong software development experience with Big Data technologies & Machine Learning frameworks like SparkML, TensorFlow, PyTorch, Keras
  • Understanding of distributed systems, and large scale engineering challenges is plus. 
Technologies we use
  • Scala, Python 

  • MongoDB, Redshift, Druid

  • Airflow, Jenkins

  • Spark, SparkML, Kinesis

Why Poshmark?

Poshmark is a leading social commerce platform for the next generation of retailers and shoppers. Through technology, our mission is to build the world’s most connected shopping experience, while empowering people to build thriving retail businesses.

Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

View Poshmark's Job Applicant Privacy Policy here.

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The Company
HQ: Redwood City, CA
850 Employees
Year Founded: 2011

What We Do

Poshmark is a leading social marketplace for new and secondhand style for women, men, kids, pets, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of ecommerce, Poshmark makes buying and selling simple, social, and sustainable. Its community of more than 80 million registered users across the U.S., Canada, Australia, and India, is driving the future of commerce while promoting more sustainable consumption.

Read more about Postmark's acquisition by Naver, Korea’s largest internet company, here: https://investors.poshmark.com/news/news-details/2022/Naver-to-Acquire-Poshmark/default.aspx

Why Work With Us

At Poshmark we are a team who Focus on People, Lead with Love, Grow Together & Embrace our Weirdness. We are a community based culture where you feel our core values internally and externally. Join our team and feel good about what you're doing and where you're going.

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