Top Entry Level Software Engineer Jobs in NYC, NY

As a Data Integration Engineer, you will ensure accurate data integration from clients for data science models. Responsibilities include performing due diligence on merchant data flows, creating data templates, writing and validating scripts, managing data configurations, and collaborating with various teams to resolve data issues.

The Data Analyst will support the Engineering team by developing analytical processes and tools, collaborating with various departments, creating visualizations for business performance, and assisting in anomaly investigations to inform data-driven decisions.

As a Technical Mentor, you will train and guide students in software engineering, focusing on JavaScript fundamentals, technical skills development, and best practices. You'll provide coaching, evaluate student progress, and help build their autonomy in coding, while also contributing to curriculum and community initiatives.

As a System Engineer for Finance Infrastructure, you will support system upgrades and testing, manage cloud-based systems, collaborate with the Finance team on workflows and process improvements, maintain data integrity, and oversee cloud service integrations.

As an Operations Research Engineer, you will develop algorithms for grocery personalization, recipe selection, and supply chain forecasting. Your role involves collaborating with the Data Science team to build and implement models, analyze experiments, and interpret data results to enhance grocery shopping and health initiatives.

As an AI Engineer at Normal, you will design and build systems that utilize large language models to process complex technical documents, contribute to AI projects from concept to production, and develop solutions for multi-modal data handling. You'll work with teams to integrate AI into products and create robust evaluation frameworks while keeping up with advancements in AI and addressing related challenges.

As a Computer Vision Engineer, you will design and implement computer vision and machine learning algorithms, collaborate with cross-functional teams to integrate solutions into the app, and apply state-of-the-art techniques to sports-related projects.