Software Engineer II, Machine Learning

Poshmark

IN Tamil Nadu

On-site

Who this role is best for

Best suited to mid-level engineers with ML experience working in a data-intensive fashion e-commerce domain.

Best fit for

Mid-level engineers with ML experience who enjoy building infrastructure and cross-functional collaboration.
— “Productionizing ML models in collaboration with the Data Science and other Engineering teams.”
Candidates who are adaptable and can work with a variety of technologies and data systems.
— “Flexible and open to trying out newer technologies and adopting them as and when needed.”
Individuals with a background in scalable data systems and model deployment.
— “Build tools and infrastructure to democratize ML.”

Things to consider

The role requires working with a broad range of technologies and data platforms.
— “Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis”
The position demands a balance between ML model development and backend API creation.
— “prior experience with writing backend apis”

How to stand out

Demonstrate familiarity with data science workflows and model lifecycle management.
— “Good understanding of data science concepts and machine learning lifecycle”
Emphasize experience with Spark, SQL, and backend API development in your resume.
— “Good understanding of spark and sql and prior experience with writing backend apis”
Showcase your ability to maintain and evolve platforms using modern technologies.
— “Maintain and support existing platforms and evolve to newer technology stacks and architectures.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

productionizing ML models
maintaining and evolving platforms

Typical background

2-3 years of software engineering experiencedata-intensive applications

Skills & requirements

Required

Software EngineeringData ScienceMachine LearningSparkSQLBackend Apis

Preferred

FlexibilityNew Technologies

Stack & domain

PythonReactFlaskDockerKubernetesRedisRedshiftMongoDBKafkaRabbitmqKinesisSklearnPyTorchTensorFlowSparkMlflowSagemakerKibanaAirflowLeadershipCommunicationFinanceHealthcare

About the role

Original posting from Poshmark via Ashby

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.
Our AI / Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).
The Machine Learning Engineering team at Poshmark is looking for an experienced machine learning engineer to take care of Poshmark’s requirement to take machine learning models with varying requirements to production ..
RESPONSIBILITIES:
Build tools and infrastructure to democratize ML
Productionizing ML models in collaboration with the Data Science and other Engineering teams.
Maintain and support existing platforms and evolve to newer technology stacks and architectures.
DESIRED SKILLS & EXPERIENCE:
2-3 years of relevant software engineering experience with data intensive applications
Good understanding of data science concepts and machine learning lifecycle
Good understanding of spark and sql and prior experience with writing backend apis
Flexible and open to trying out newer technologies and adopting them as and when needed.
TECHNOLOGIES WE USE:
Flask, Docker, Kubernetes
Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis
sklearn, pyTorch, Tensorflow, Spark
Mlflow, Sagemaker, Kibana, Airflow
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.

Source: Poshmark careers (Ashby)