Top Entry Level Jobs

Designs and delivers clinical, systems, customer service, and life-support training for healthcare staff. Develops curricula, course materials, competency tools, and performance reports; assesses trainee skills, provides feedback and remediation, evaluates training effectiveness, and recommends improvements. Supports audits, compliance, policy development, and clinical application knowledge while serving as a subject matter expert across clinic sites.

Train and evaluate PyTorch computer vision models for visual localization, including feature matching, image retrieval, pose regression, and scene-coordinate regression. Build large-scale image and 3D data pipelines, run experiments on GPU infrastructure, maintain localization benchmarks, and support model export, inference optimization, deployment, and monitoring. Collaborate with research and testing teams to improve production model performance.

Designs and analyzes PLC-based AC and DC electrical control systems for electromechanical packaging equipment. Builds and tests electronic components and fixtures, troubleshoots electrical designs, implements engineering changes in AutoCAD Electrical, and supports machinery safety compliance. Collaborates across engineering disciplines and with external testing vendors. Requires approximately 25% travel.

Build and own Shepherd’s canonical analytical layer using dimensional modeling and dbt. Partner with actuarial, reporting, operations, engineering, and other data consumers to define trusted business entities, facts, dimensions, relationships, and rules. Establish testing, reconciliation, documentation, lineage, and adoption practices; evaluate and migrate existing models and datasets; and shape semantic context for human and AI-assisted analytics.

Develop FPGA logic components, signal-processing algorithms, and custom controllers for autonomous metal 3D-printing factories. Interface FPGA logic with embedded Linux applications, package IP components, and design FPGA block diagrams. Work with development boards and production systems while collaborating across software and hardware disciplines to build high-performance, reliable manufacturing technology.

Lead Neptune’s expert marketplace by recruiting and onboarding qualified professionals, developing supply partnerships, expanding into new markets, managing marketplace operations, analyzing performance, and building scalable processes and support systems. The role works closely with founders and requires strong commercial judgment, analytical skills, independence, hands-on execution, and comfort using AI and automation.

Own strategic finance, operating models, budgeting, forecasts, headcount planning, cash runway scenarios, and financial analysis. Evaluate pricing, unit economics, infrastructure costs, profitability, investments, and resource allocation. Partner with founders and cross-functional leaders, reconcile forecasts with accounting actuals, explain variances, support board reporting and fundraising, and improve planning systems and reporting.

Supports desktop and end-user technologies in an onsite healthcare environment. Troubleshoots Windows, Active Directory, networking services, VDI/Citrix, hardware, peripherals, and software issues. Installs and validates solutions, supports system implementations, change management, disaster recovery, and technical projects. Maintains documentation, serves as a technology subject matter expert, assists team members, and coordinates issue resolution across technical teams and stakeholders.

Tenure-track faculty member conducting research and teaching at the intersection of human cognition and artificial intelligence. Responsibilities include scholarship, undergraduate teaching, curriculum and program development, advising, mentoring undergraduate research, and collaboration across Barnard and Columbia. The role requires a PhD in Computer Science, Cognitive Science, or a related discipline, along with a strong research agenda and commitment to inclusive undergraduate education.

Build systems that capture professional design activity and convert it into training-grade preference data. Own product instrumentation, pipelines from canvas to warehouse to training sets, dataset contracts, lineage, reproducibility, privacy boundaries, consent, and feedback collection. Partner closely with product engineers and researchers to ship new signals, make ambiguous behavioral data accurate, and ensure datasets and training results are traceable and repeatable.