Staff ML Scientist

Poshmark; Redwood City (CA); On-site; USD 167,000 - 238,000; Full time

Job summary

Poshmark is seeking a Staff ML Scientist to drive data science innovation by developing AI solutions that enhance their platform. The role involves tackling complex challenges in various areas including personalization and trust & safety, requiring 7-10 years of relevant experience.

Benefits

Competitive base salary and ISO equity packages

Company-sponsored dental and vision insurance

Medical plans with employer contributions to HSA

$200 monthly wellness stipend

401(k) plan with employer match

Flexibility in vacation and sick leave

Generous parental leave and family support

Free daily catered lunches

Home office stipend and hybrid work flexibility

Pet-friendly office

Qualifications

• 7–10 years of experience building scalable data science solutions.
• Proficiency in Python, SQL, and Spark.
• Hands-on experience with machine learning frameworks like TensorFlow.

Responsibilities

• Lead data science initiatives from ideation to deployment.
• Collaborate with ML engineers and product managers.
• Own the entire ML development lifecycle.

Skills

Machine Learning Algorithms

Problem-Solving

Tools

Python

SQL

Spark (Scala or PySpark)

Job description

Join to apply for the Staff ML Scientist role at Poshmark

Join to apply for the Staff ML Scientist role at Poshmark

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

$167,200.00 - $237,300.00 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Retail Apparel and Fashion

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