Ensure smooth and timely customs process flow, accurate data entry, track and trace customs files, client billing, and compliance with regulations.
Responsibilities
Ensure smooth and timely customs process flow
Ensure accurate and timely data entry into our operational system
Track and Trace Custom files and reporting
Ensure accurate and timely client billing
Understand all the elements of the import and export customs Desk Level Operating Procedure and correctly interpret this information to fulfill our customer’s instructions and expectations.
Support the Trade Advisory team in executing client entry audit projects, managing day‑to‑day activities, analyzing data, building Excel models, automating workflows, and preparing audit reports.
Locations (2)
Atlanta, Georgia, United States
Dallas, Texas, United States
Responsibilities
Work closely with the Trade Advisory Lead to scope, plan, and execute client entry audit projects.
Manage the day‑to‑day activities of multiple audit projects, including data requests, timelines, status updates, and deliverables.
Pull, clean, and analyze large volumes of entry‑level data from sources such as ACE, client database, entry packets.
Build and maintain Excel models and workbooks to map data from ACE to client specific business rules.
Design, build, and maintain automated workflows and data pipelines using N8N, Parabola, or equivalent tools.
Requirements
Bachelor's degree from an accredited college/university
The 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 businesses, and use machine learning to drive value across the chain (Search, personalization, fraud detection, and catalog digitization to name a few).
Responsibilities
Manage the entire ML lifecycle from data collection to deployment and monitoring.
Collaborate across teams such as DS, QA, Infra, and other engineering teams to productionize ML models.
Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale.
Manage and support current solutions while evolving them to incorporate newer technologies.
Requirements
Bachelors or Masters in Computer Science, Statistics, or related field
The Architecture team within our organization is responsible for bringing together computer vision algorithms, firmware, and low-level software teams to drive some of the most exciting programs across many Apple products!
Locations (2)
Seattle, Washington, United States
Sunnyvale, California, United States
Responsibilities
Drive cross-functional initiatives transforming computer vision research into production-ready features
Architect technical solutions solving real business problems and delivering high customer value
Bridge the gap between high-level algorithm design and low-level system optimization
Requirements
BS degree in Computer Science, Electrical Engineering, or a related field
Internship focused on developing and supporting machine learning models within Bask Health's telehealth platform.
Responsibilities
Assist with developing machine learning models and supporting engineering systems across Bask Health
Work with experienced engineers to understand practical machine learning development workflows
Prepare, clean, and transform approved datasets for model training and evaluation
Write Python scripts for data processing, experimentation, and model development
Assist with implementing supervised learning models and baseline algorithms
Requirements
Currently pursuing, recently completed, or independently developing skills equivalent to a degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Statistics, or a related technical field
Summer intern in Computational Toxicology focusing on predictive modeling of in vitro bioactivity data to clinical adverse events.
Compensation
The expected salary range for this position based on the primary location of California is $52.00 per hour.
Responsibilities
Extract, clean, and harmonize clinical trial safety data and adverse event findings across internal and external clinical datasets for target chemical space.
Aggregate, curate, and standardize high-throughput in vitro bioactivity screening data from internal discovery databases, incorporating relevant public bioactivity data where appropriate.
Integrate curated in vitro and clinical safety datasets into internal translational safety data platforms using R.
Develop, apply, and evaluate machine learning models and statistical benchmarking workflows in R to determine how reliably early assay readouts predict human clinical adverse events.
Perform translational gap analyses to characterize which clinical toxicities are well-predicted by current screening batteries versus those that require new or complementary assay strategies.
Requirements
PhD in Toxicology, Pharmacology, Computational Biology, or related biomedical discipline
Nice to have: public toxicology and chemical biology databases (ToxCast/Tox21, ChEMBL, PubChem)
Nice to have: preclinical/clinical trial documentation
Data ScientistNewMorgan & Morgan, P.A. · Remote, US.png?1786677092)
Trade Advisory AssociateNewFlexport · Atlanta, US+1 more
Machine Learning EngineerNewPoshmark · Chennai, India
Senior Computer Vision ArchitectNewApple · Seattle, US+1 more
2027 Summer Intern - Translational Safety (Computational Toxicology)NewGenentech · South San Francisco, US