Staff ML Scientist

Reposted 9 Days Ago
Redwood City, CA
In-Office
189K-268K
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
The Staff ML Scientist will lead data science initiatives, develop AI solutions, and collaborate with teams to optimize products and marketing efforts.
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:

At Poshmark, we're passionate about harnessing the power of data to drive business impact. As a Staff ML Scientist / Lead Data Scientist, you'll tackle complex challenges in personalization, trust & safety, marketing optimization, and product experience. With over 130 million users generating billions of daily events, you'll be at the forefront of data science innovation, developing AI solutions that enhance our platform and delight our community.

Responsibilities:

  • Lead end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, computer vision and GenAI. 

  • Collaborate cross-functionally with ML engineers, product managers, and business stakeholders, to design and deploy high-impact models.

  • Develop scalable solutions for key areas of product, marketing, operations, and community functions.

  • Own the entire ML development lifecycle: data exploration, model development, deployment, and performance optimization.

  • Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.

6-Month Accomplishments:

  • Develop comprehensive understanding of Poshmark's data platform and key datasets. 

  • Gained insights into challenges related to data scale and noise, implementing strategies to effectively leverage data in decision-making processes.

  • Demonstrated proficiency in Poshmark's machine learning systems by applying advanced algorithms to address a business use case.

  • Successfully prototype/enhance models aimed at improving key business metrics, contributing to data-driven solutions that support company objectives

12+ Month Accomplishments:

  • Collaborated with ML engineers and other data scientists to establish best practices for managing and maintaining machine learning models in production, enhancing system reliability.

  • Successfully led the development and deployment of model for resolving business use case(s), contributing to overall company growth and success

  • Lead the adoption and application of cutting-edge AI trends and technologies, establishing Poshmark as a pioneer in data science.

  • Mentor junior scientists/engineers,  fostering a culture of continuous learning and development within the team.

Must-Have Qualifications:

  • 7–10 years of experience building scalable data science solutions in a big data environment.

  • Hands-on experience with key machine learning algorithms, including CNNs, Transformers, and Vision Transformers.

  • Proficiency in Python, SQL, and Spark (Scala or PySpark), with experience in deep learning frameworks such as PyTorch or TensorFlow.

  • Solid understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts.

  • Strong problem-solving skills and the ability to communicate complex technical ideas effectively to diverse audiences, including executives and engineers.

Preferred Qualifications:

  • Experience with personalization algorithms, recommendation systems, or user behavior modeling.

  • Familiarity with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) or Parameter-Efficient Fine-Tuning (PEFT).

Perks and Benefits:

  • Competitive base salary and ISO equity packages tailored to your experience and impact

  • Company-sponsored dental and vision insurance for you and your dependents

  • Medical plans including HMO, PPO, and HDHP with employer contributions to HSA

  • $200 monthly wellness stipend for fitness, wellness gear, or health-related expenses

  • 401(k) plan with a 3% employer match, up to $1,000 annually

  • Flexible vacation and sick leave / paid time off policy

  • Generous parental leave and family support benefits

  • Paid holidays and additional personal days

  • Free daily catered lunches, snacks, and beverages

  • Home office stipend and hybrid work flexibility

  • Employee resource groups (ERGs) to build community and connection

  • Pet-friendly office

Salary Range:

$188,936.00 - $268,149.00 Annual

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.

Top Skills

Pyspark
Python
PyTorch
Scala
Spark
SQL
TensorFlow
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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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