Scale Engineer

Senior Staff, Machine Learning Engineer

Machine Learning Engineer · Staff · Full Time

US California (Redwood City) - OfficeUSD 200k – 350k1mo ago
Apply for this role

Opens Poshmark's application page

Role

What you'll do.

Poshmark is seeking a Senior Staff Machine Learning Engineer to join their Big Data team, focused on building next-generation algorithms and scalable ML systems that drive critical business impact and enhance user experience across their social commerce platform.

Responsibilities

  • Data Exploration and Algorithm Development: Explore large datasets and research innovative algorithms to solve complex business challenges
  • Scalable ML Application Development: Design and implement highly scalable machine learning applications capable of processing large data volumes
  • Cross-Functional Collaboration: Work closely with data science, business, and engineering teams to deliver machine learning-based data products
  • Best Practices and Tools Development: Create robust tools and establish best practices for consistent and efficient feature delivery
  • System Architecture Optimization: Design and improve architectural frameworks to ensure horizontal scalability across all system layers

Qualifications

What we look for.

Technical

  • Machine Learning Expertise

    Deep understanding of advanced machine learning algorithms and modeling techniques

  • Big Data Technologies

    Proficiency with machine learning frameworks like SparkML, TensorFlow, PyTorch, and Keras

  • Distributed Systems

    Strong understanding of distributed computing and large-scale engineering challenges

Education

  • Advanced Degree

    MS or PhD in Computer Science, Machine Learning, or related technical field preferred

Experience

  • Overall Software Development

    6+ years of total software development experience

  • Machine Learning Application

    4+ years of industry experience applying machine learning to concrete business problems

Skills

Required

  • Programming Languages

    Advanced coding skills in Python and Scala

  • Machine Learning Frameworks

    Expert-level knowledge of SparkML, TensorFlow, PyTorch, Keras

Preferred

  • Big Data Tools

    Nice to have

    Experience with Airflow, Jenkins, Spark, Kinesis

  • Database Technologies

    Nice to have

    Familiarity with MongoDB, Redshift, Druid

Tech stack

Languages

PythonScala

Frameworks

SparkMLTensorFlowPyTorch

Databases

MongoDBRedshiftDruid

Tools

AirflowJenkinsKinesis

Other

Spark

Compensation

Pay and benefits.

Base·USD 200,000 – 350,000

Equity·Stock options

Benefits

  • Competitive Compensation

    Highly competitive salary range with potential stock options

  • Hybrid Work Model

    Flexible work arrangement with both office and remote options

  • Innovative Technology Environment

    Work with cutting-edge machine learning and big data technologies

Process

Interview steps.

  1. 01

    Initial Screening

    Phone or video call with recruiting team to assess background and experience

  2. 02

    Technical Interview

    Detailed technical discussion focusing on machine learning expertise and problem-solving skills

  3. 03

    ML Systems Design Challenge

    Architectural design challenge to evaluate scalable ML system design capabilities

  4. 04

    Team Interview

    Collaborative interview with ML and Big Data team members

  5. 05

    Final Executive Interview

    Discussion with senior leadership about vision and potential impact

Full posting

Original listing.

About Poshmark


Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.

 

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

  • 6+ years of overall software development experience with at least 4+ 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

Interview prep

14 guides for Poshmark

Apply for this position

Redirects to Poshmark's application page.

Other roles

More at Poshmark.

View all 10 roles