Perform analysis and review of topographic lidar data, digital elevation models, and derivative products for federal and state clients.
Create scripts/models/macros for automated lidar classification and point cloud processing across multiple sensor platforms.
Conduct QAQC on processed data to ensure rigorous accuracy and qualitative requirements are met.
Dewberry is a professional services firm specializing in consulting and engineering, with a focus on remote sensing and geospatial projects for state and federal clients. They have over 2,500 professionals across 60 locations, emphasizing a collaborative culture and high-quality service.
Perform geoprocessing activities including collection, processing, analysis, and visualization of geospatial data.
Classify and analyze satellite imagery for land use and land cover mapping, change detection, and thematic mapping.
Interpret satellite imagery using photointerpretation and image-classification techniques, editing geographic data with GIS tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and share top-fitting candidates directly with employers, operating with a small remote team focused on efficient recruitment.
Develop and maintain backend systems and data-processing pipelines using Python.
Work with core processing systems and large-scale geospatial imagery from drones, aircraft, or satellites.
Apply hands-on GIS and photogrammetry expertise to process and transform geospatial data.
Our client is a U.S.-based technology company working with large-scale geospatial data and imagery. They focus on processing drone, aircraft, and satellite imagery for various applications. The team is collaborative and values technical expertise in GIS and photogrammetry.
Partner with GIS analysts, software engineers, and project managers to scope automation opportunities and deliver measurable improvements.
Design, build, and maintain Python tools and scripts that streamline geospatial data processing throughout the project lifecycle.
Develop custom geospatial services, attribute rules, and ArcGIS Workflow Manager configurations to enforce data quality and consolidate workflows.
Electric Power Engineers (EPE) is a consulting firm providing energy intelligence software and engineering solutions for complex power and grid challenges. With over half a century of experience, they are leaders in renewables and focus on building a modern, secure, and resilient grid.
Assist with processing, reviewing, and qualifying hydrographic and topographic survey data in a GIS environment.
Assist with producing and quality assuring deconflicted bathymetric products.
Assist with creating, automating, and optimizing workflows for hydrography, physics, and geodesy.
Lynker Corporation is a leading provider of innovative solutions in ocean and coastal science, leveraging cutting-edge technologies to support improved ocean modeling. The company is a growing, employee-owned business specializing in professional, scientific, and technical services, with a team-oriented culture that empowers talented professionals.
Build and evolve our frontend application serving as the primary interface for AI model training, inference execution, and results exploration.
Develop rich interactive map-based visualizations for displaying detection results, segmentation masks, and training data coverage across large geographic areas.
Design intuitive workflows for complex geospatial operations to put AI capabilities into the hands of analysts.
Blackshark.ai provides a scalable AI platform that enables custom model training on global features, delivering real-time geospatial insights. Founded in 2020, the company has raised $35 million in Series A funding from investors including Microsoft M12 and Point72 Ventures.
Help users discover and master the Dataiku platform via training, office hours, and consultative support.
Analyze and investigate data and machine learning applications across various industries and use cases.
Mentor and educate data scientists and customer team members to aid in career development.
Dataiku is the enterprise orchestration layer for building, deploying, and governing AI. We are a global company with a culture of innovation, collaboration, and personal growth.
Demonstrate the value of Planet's solutions to organizations in the MENA region, acting as a trusted advisor and building relationships.
Collaborate with cross-functional teams including Customer Success, Product Management, and Business Development to represent customer needs.
Lead technical presentations and workshops, and assist with tenders, RFPs, and proposals, with up to 50% international travel.
Planet designs, builds, and operates the largest constellation of imaging satellites in history, delivering an unprecedented dataset of empirical information via a revolutionary cloud-based platform. With offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and the Netherlands, Planet fosters a people-centric culture and diverse community.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
Design and build scalable inference pipelines running on large GPU clusters for synthetic data generation.
Conduct data ablations and experiments to enhance model performance and data quality.
Research and implement innovative synthetic data curation methods using Cohere's infrastructure.
Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprises. They are a global team of researchers, engineers, and designers with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.
Analyze performance data from AI models to measure effectiveness and understand user behavior.
Research and evaluate new AI/ML approaches and summarize their business applications.
Create reports, dashboards, and presentations to communicate findings to clients.
TensorOps is an applied-machine-learning studio that helps organizations across Europe and North America design, train, and deploy production-grade GenAI systems. Their team blends research depth with pragmatic engineering and offers a fully remote, collaborative culture.
Develop deep learning models for feature matching, depth estimation, pose estimation, and image-to-map localization.
Own data preparation and supervision strategies, including dataset curation, labeling workflows, and quality checks.
Collaborate with state estimation and deployment engineers to integrate learned measurements into VIO and terrain-relative navigation systems.
This company builds autonomous systems that can understand motion and localize themselves when GPS is unavailable. Its engineering team works remotely, collaborating across deep learning, computer vision, and state estimation.
Review HD map geospatial data against quality specifications and ground-truth sources.
Identify and triage map defects while working with mapping engineers and vendors.
Define QC metrics and workflows to improve map accuracy at scale.
Torc Robotics develops software for automated trucks, partnering with Daimler to transform freight movement. The culture is collaborative, energetic, and team focused, with a commitment to diversity and inclusion.
Design, develop, and deploy production ML models for ego-motion estimation and localization using camera, LiDAR, and radar.
Develop scalable training and evaluation workflows with PyTorch and large-scale real-world datasets.
Collaborate with cross-functional teams and provide technical leadership in design reviews and mentoring.
Torc develops autonomous vehicle software for automated trucks, aiming to transform freight movement. As part of the Daimler family, they have a collaborative, energetic, and team-focused culture with competitive benefits.
Develop and optimize 3D computer vision components, including triangulation, bundle adjustment, and camera calibration, and integrate them into the GenWeb3D stack.
Design and implement 3D point and sparse patch tracking systems from video data.
Integrate deep learning models into classical vision workflows, including lightweight neural modules that accelerate 3D inference.
GenWeb is building the next generation of 3D perception systems. As a company, we focus on developing high-performance computer vision pipelines that bridge classical geometry with modern machine learning, aiming to make real-world 3D understanding faster and more accurate. Our team is engineering-focused, valuing robustness and production-quality deployment.
Build and maintain data scrapers and ingestion pipelines for government data sources across the US
Validate data for accuracy, completeness, consistency, and reliability before it reaches the platform
Document source behavior, extraction logic, and data-quality checks to ensure maintainable systems
GovSignals is the AI system of work for government contracting, helping close the gap between government acquisition speed and adversary capability deployment. It's a high-velocity startup managing government contract data with AI in both FedRAMP High and DoW Impact Level 5 environments, monitoring over 5,000 live data sources and serving customers from small contractors to Fortune 500 primes.
Own end-to-end technical strategy for major areas of the Voyager SDK’s application layer, including model deployment and pipeline development.
Set technical direction for image processing, create reusable architectures, and partner with the compiler team to resolve compilation issues.
Represent the Applications team’s capabilities to business stakeholders, mentor engineers, and drive documentation standards.
Axelera AI is a deep-tech company creating a next-generation AI platform to advance humanity. With $450 million raised and 250+ employees including 60+ PhDs, they have a strong business pipeline exceeding $100 million and are committed to innovation.
Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
Develop forecasting and optimization solutions to support complex business and operational decisions.
Apply experimentation and causal inference techniques, and explore Generative AI where applicable.
Coderio designs and delivers scalable digital solutions for global companies. They are a remote-first company with a collaborative international team focused on technical excellence and career growth.