Poshmark

4 months ago

Sr. Engineer, Machine Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Build and run machine learning solutions end to end, owning the full lifecycle from data collection through deployment and monitoring. Partner with DS, QA, Infra, and other engineering teams to productionize ML models and evolve existing systems with newer technologies. Write and optimize reliable, scalable production code, while using ML fundamentals across areas like regression, classification, neural and sequence-based models. Stay current with data science and ML advancements.

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Manage the entire ML lifecycle from data collection to deployment and monitoring.
•Collaborate with DS, QA, Infra, and other engineering teams to productionize ML models.
•Write and optimize production code to ensure robustness and reliability of ML services at scale.
•Manage and support current solutions while evolving them to incorporate newer technologies.
•Convey complex concepts clearly through strong written, verbal, and presentation skills.

Pay and Benefits

Salary: USD 151,194 - 214,587 annually

Key Requirements

•4+ years applying machine learning to large-scale, concrete problems.
•Bachelor’s or Master’s degree in Computer Science, Statistics, or related field.
•Strong CS fundamentals with the ability to write algorithms.
•Solid understanding of ML fundamentals (e.g., regression, classification, tree-based methods, neural networks, sequence-based models).
•Experience with at least one ML model such as LLMs, GNNs, deep learning, logistic regression, or gradient boosting trees.

Experience:4+ years

Education:Bachelor's in Computer Science, Statistics, or related field

Skills:Written communicationVerbal communicationPresentation skillsProblem-solvingAdaptability

Tech Stack:PythonSQLJavaScalaPytorchTensorflowSklearnFlaskFastapiGunicornQuarkusMLFlowSagemakerKibanaAirflowDatabricksGrafanaDatadogDockerKubernetes

Company Brief

Poshmark

Industry: Online Marketplaces

Website

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Poshmark

4 months ago

Sr. Engineer, Machine Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Manage the entire ML lifecycle from data collection to deployment and monitoring.
•Collaborate with DS, QA, Infra, and other engineering teams to productionize ML models.
•Write and optimize production code to ensure robustness and reliability of ML services at scale.
•Manage and support current solutions while evolving them to incorporate newer technologies.
•Convey complex concepts clearly through strong written, verbal, and presentation skills.

Pay and Benefits

Salary: USD 151,194 - 214,587 annually

Key Requirements

•4+ years applying machine learning to large-scale, concrete problems.
•Bachelor’s or Master’s degree in Computer Science, Statistics, or related field.
•Strong CS fundamentals with the ability to write algorithms.
•Solid understanding of ML fundamentals (e.g., regression, classification, tree-based methods, neural networks, sequence-based models).
•Experience with at least one ML model such as LLMs, GNNs, deep learning, logistic regression, or gradient boosting trees.

Experience:4+ years

Education:Bachelor's in Computer Science, Statistics, or related field

Skills:Written communicationVerbal communicationPresentation skillsProblem-solvingAdaptability

Tech Stack:PythonSQLJavaScalaPytorchTensorflowSklearnFlaskFastapiGunicornQuarkusMLFlowSagemakerKibanaAirflowDatabricksGrafanaDatadogDockerKubernetes

Company Brief

Poshmark

Industry: Online Marketplaces

Website