The role will develop and use innovative techniques and tools for remote sensing applications, including image chain modeling, computer vision, and 3D remote sensing.
Locations (2)
Chantilly, Virginia, United States
Dayton, Ohio, United States
Compensation
(Min - Max) $181,700.00 - $272,500.00
Responsibilities
Develop and use innovative techniques and tools for applications including image chain modeling, spectroscopy, computer vision, change detection and tracking, space domain awareness, lidar and 3D remote sensing, EO/IR remote sensing, product quality metrics, optics, calibration, and data simulation
Design, perform, document, and present results of studies using deterministic and probabilistic numerical analysis techniques
Advise government and internal Aerospace customers on operational and R&D remote sensing system performance
Present and promote your work to contractors and customers to inform and influence key decisions and drive system requirements
Build physics-based modeling code while collaborating with small teams to develop end-to-end system and performance modeling tools
Develop AI-based MRI reconstruction algorithms, optimize performance, and bring clinical features from research to product.
Compensation
The base salary range for this role is EUR 50,750.00 - EUR 79,750.00. This role is eligible for 3% short term incentive with your rewards linked to both individual performance and company results.
Responsibilities
Innovate, specify, prototype, engineer, test, and document MR reconstruction algorithms.
Bring clinical MR features from the research stage through advanced development into products.
Extend existing Philips MR software with emphasis on clinical functionality and usability.
Maintain relationships with clinical sites and other teams within Philips.
Contribute to conferences and file patent disclosures.
Requirements
Master’s or PhD degree in Mathematics or a related field
Own product surfaces end-to-end by talking to users, shipping full-stack applications, keeping production apps healthy, and raising the bar on reliability and UX.
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Annual Salary: $240,000 - $325,000 USD
Responsibilities
Design, build, and ship full-stack features for GTM Apps (TypeScript / Next.js and our shared internal stack), from idea through production
Enable our world-class sales team to exceed their ambitious goals with world-class software; own a product surface and drive its roadmap (e.g. account intelligence, pricing, forecasting, our internal data API, etc)
Partner closely with RevOps, Data Engineering, and field teams to turn messy operational processes into durable software
Improve the reliability, performance, and user experience for critical software our GTM teams depend on for daily work
Build and maintain shared infrastructure other GTM builders can use (e.g. APIs, UI libraries, authentication frameworks, etc)
Design, develop, deploy, and optimize enterprise-grade Generative AI solutions, intelligent agents, and AI-powered applications using advanced AI frameworks.
Compensation
$40.00 - $37.00/Hour on W2 (Without Benefits)
Responsibilities
Develop, maintain, and deploy AI applications using Python.
Design and implement chain-of-thought prompt pipelines utilizing LangChain for modular, scalable AI workflows.
Build and integrate knowledge graphs with LangGraph to improve data connectivity and reasoning.
Design, build, and deploy AI applications leveraging LLMs such as GPT, Claude, Gemini, Llama, and other foundation models.
Develop Agentic AI solutions capable of autonomous reasoning, planning, tool execution, and decision-making.
Develop, maintain, and optimize Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalization, and deduplication.
Run and monitor large-scale batch processing jobs, investigate failures, and implement reliable retry and recovery mechanisms.
Build automated quality checks to identify missing or corrupted files, incomplete OCR outputs, duplicate content, formatting issues, and metadata inconsistencies.
Prepare training-ready datasets through filtering, text segmentation, tokenization, and conversion into agreed data formats.
Manage bulk uploads, downloads, and synchronization between local processing environments and Azure storage; verify transfer completeness and data integrity.
Provide L3 production support for mission‑critical applications and services, monitor health, analyze logs and traces, lead incident management, develop automation, and drive SRE best practices.
Compensation
Pay Rate: $45-$50/hr on W2
Responsibilities
Provide L3 production support for mission‑critical applications and services.
Monitor application health, infrastructure performance, and business transactions using Dynatrace and Splunk.
Analyze distributed traces, service flows, logs, metrics, and dependencies to identify and resolve production issues.
Lead and support Major Incident Management (MIM) activities, including Sev‑1 and Sev‑2 incidents.
Conduct thorough Root Cause Analysis (RCA) and implement preventive measures to avoid recurring issues.
Design, provision, and manage AWS infrastructure supporting production and non-production database environments.
Locations (2)
Sunnyvale, California, United States
Austin, Texas, United States
Compensation
Pay Range: $55-60/Hour on W2/C2C (All Inclusive)
Responsibilities
Design, provision, and manage AWS infrastructure supporting production and non-production database environments.
Build and maintain CI/CD pipelines for database deployments, schema migrations, and configuration management using tools like Jenkins, GitLab CI, CodePipeline, or similar.
Automate infrastructure provisioning using Infrastructure-as-Code (Terraform, CloudFormation, or AWS CDK).
Develop and maintain monitoring, alerting, and observability solutions for database health using tools such as CloudWatch, Prometheus, Grafana, Datadog, or OEM.
Collaborate with DBAs to automate routine database operations: backups, patching, failover/switchover, replication setup (Data Guard, GoldenGate, native replication), and capacity planning.
Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
Nice to have: 1+ years of rigorous experience building single page web applications
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