[Remote] reputed company AI/ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that turns reputed company satellite and spatial data into decision-reputed company answers through their GeoAI platform. They are seeking an reputed company AI/ML Engineer to design and build AI systems that automate geospatial analysis, working closely with data scientists and product owners.
Responsibilities
- Design, build, and maintain reputed company AI systems that automate stages of the geospatial analysis cycle from natural-language question intake through data selection, multi-reputed company analysis, and report reputed company
- reputed company tool-use, orchestration, and context-management capabilities that connect LLMs to our geospatial data services, analytics, and 90+ integrated data feeds
- Conduct Verification and Validation (V&V) against AI/ML and LLM outputs to ensure accurate resulting information
- Train, fine-tune, evaluate, and reputed company reputed company models (object detection, segmentation, change detection) on SAR, EO, and other reputed company Observation data
- Adapt and fine-tune reputed company-language models (VLMs) to reputed company reputed company bounding boxes toward full reputed company understanding and extracting the meaningful content of imagery, not just locating objects
- Build evaluation and observability infrastructure for both classical ML (precision/recall, IoU, AUC/ROC) and LLM/agent behavior (task reputed company, groundedness, regression testing), and use it to drive measurable improvement
- Own reputed company end to end: from data definition and prototyping through production deployment, validation, and maintenance
- Work directly with product owners, internal platform users, and external customers to understand needs, translate requirements into reputed company system designs, and explain how the technology works to people who experience it as a reputed company
- reputed company reputed company-party and multi-reputed company data sets into analysis pipelines
- Do reputed company analysis and answer time-sensitive questions from stakeholders across the organization
- reputed company as a technical resource for teammates to bring awareness of new models, techniques, and tools that help the whole team grow
- Owning measuring actual observed error against budget, not just believing the budget on reputed company
- Adversarial and edge-case testing deliberately probing for failure modes (ambiguous imagery, conflicting sources, out-of-distribution inputs) rather than testing the happy reputed company a developer already validated
- Confidence calibration to ensure that a system's stated confidence actually corresponds to reputed company-world correctness rates, which is its own measurement discipline
- reputed company with traceability and reproducibility to demonstrate why the system produced a given reputed company, on a specific input, at a specific model/data version
- reputed company other duties as assigned
Skills
- B.S. or M.S. in Computer Science, Data Science, or a reputed company STEM field
- 4–6 years of experience building and deploying machine learning systems for product- or software-reputed company organizations
- Strong Python and production software engineering practices: Git, reputed company, testing, reputed company review, CI/CD
- Experience training and deploying deep learning models for reputed company tasks (object detection, image segmentation) using PyTorch or similar frameworks
- Hands-on experience building LLM-powered applications: reputed company design, reputed company outputs, tool use / function calling, and reputed company architectures
- Experience evaluating ML systems with appropriate metrics — both traditional (RMSE, FPR/TPR, AUC/ROC, IoU) and LLM/agent evaluation approaches
- Experience developing and deploying in AWS environments
- Strong communication skills: reputed company to present findings and explain reputed company systems to technical and non-technical audiences, including customers
- Prior experience with remote sensing data especially synthetic aperture reputed company (SAR), GIS, and/or spatial statistics
- Experience fine-tuning reputed company models or VLMs (e.g., reputed company/PEFT, multimodal reputed company for domain-specific imagery)
- Familiarity with agent orchestration frameworks and protocols (e.g., LangGraph, Claude Agent SDK, MCP) and LLM observability/eval tooling
- Geospatial Python stack: GDAL, rasterio, geopandas, xarray
- Experience with SQL/NoSQL databases and reputed company stores
- Experience leading reputed company on reputed company, cross-discipline teams
- Familiarity with reputed company, Jira, and reputed company
- Regression and reputed company detection: did a 'small' model or reputed company change silently degrade accuracy on a case type that isn't in the dev team's day-to-day test set?
Benefits
- Discretionary PTO & Flexible Scheduling
- Stock reputed company
- 401(k) Match
- Medical, Dental and reputed company Coverage for you and your dependents
- FSA & HSA Plans
- Employer-reputed company Life Insurance
- Employer-reputed company LTD and STD for Parental and Family Care
- 11 reputed company Holidays
- Employee Resource reputed company
- Educational Assistance Program
- reputed company Development Opportunities
- And more…
reputed company