Build and improve ML/CV models, including retraining and optimizing for Samsara-specific problems.
Work with petabyte-scale data from camera and sensor devices to develop new models.
Partner with firmware and full-stack teams to deploy models for optimal performance and cost.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a public company with over 2.3 million IoT devices deployed globally, Samsara fosters a culture of growth mindset, inclusivity, and teamwork.
Design, develop, and optimize computer vision models and deep learning capabilities across the product portfolio.
Build and maintain ETL pipelines, clean datasets, and perform feature engineering for machine learning applications.
Collaborate with cross-functional teams to productionize, deploy, and monitor models in real-world environments.
FloVision is a remote-first startup improving the food supply chain with computer vision and ML. It is a Series A company with a distributed team across the US, UK, and Ireland.
Develop end-to-end data processing pipelines for display characterization and machine learning algorithms for visual artifact detection.
Design and implement anomaly detection models and automated analysis tools for display performance.
Collaborate with cross-functional hardware teams and maintain data infrastructure for ML workflows.
itD is a consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a flat structure and a focus on delivering excellent results.
Architect end-to-end computer vision pipelines for real-world safety detection, including object detection, tracking, and semantic segmentation.
Drive the technical roadmap for edge and cloud perception, optimizing models for constrained hardware without sacrificing accuracy.
Mentor senior scientists and engineers, translating customer needs into precise engineering challenges.
Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations dependent on physical operations to harness IoT data for actionable insights and improved safety, efficiency, and sustainability. As a recently public company, they foster a culture of rapid career development, collaboration, and innovation while scaling globally.
You will own the end-to-end user interfaces, active learning agents, and visual tooling powering our Spatial Platform.
You will train and integrate lightweight CV models for active learning and pre-labeling to accelerate human annotation.
You will build robust internal QC, mapping, and annotation platforms and design high-performance front-end interfaces for spatial planograms.
Augmodo is building the "operating system for the physical shelf" using spatial computing and wearable AI, providing real-time store-level insights. We are a fast-moving startup with a culture of high agency and velocity.
Accurately annotate and evaluate text, video, and geographic data following detailed guidelines.
Conduct research and review your work to ensure high standards of consistency and quality.
Collaborate with an international team and provide feedback to improve annotation processes.
They are an AI data company that improves the accuracy and performance of generative AI models through data annotation. They operate with a fully remote, collaborative team culture.
Build, adapt, and operationalize ML models to estimate forest structure from remote sensing data.
Integrate trained models into automated production pipelines and maintain surrounding data infrastructure.
Contribute to scientific manuscripts and serve as a cross-team link between SciDev and Data Engineering.
Vibrant Planet is a team of leaders in fire science, applied science, forestry, policy, and tech that uses a cloud-based AI-driven platform to lower wildfire risk. The company is backed by climate and resilience leaders and values an inclusive, equitable work environment.
Support training, fine-tuning, and evaluation of neural foundation models.
Build and maintain data pipelines for petascale neurobehavioural datasets.
Prototype tools and demos to apply trained models to robotics and embodied AI tasks.
Netholabs builds AI grounded in biological intelligence by recording petascale neurobehavioural data to train neural foundation models. They are a small, fast-moving research team focused on AI, robotics, and personalized intelligence.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff.
Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early.
Configure Datafold's Migration Agent and partner with engineering to execute migrations.
We are a data engineering automation platform delivering large-scale data platform migrations with AI at fixed price and guaranteed timeline. We are a venture-backed software company that has delivered projects up to 6x faster than alternatives.
Labeling of image data for training object recognition
Programming data acquisition pipelines in Python or C++
Frontend development of a browser client in Three.js
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group providing IT and telecommunications services. With over 5300 employees, the company continuously develops its sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals.
Own reliability targets across backend/API, worker services, and CV pipeline, including MTD, MTM, MTR, and root cause follow-through.
Level up monitoring, alerting, and build auto-remediation so on-call load scales with automation.
Partner with engineering to build AI agents that triage alerts and handle routine remediation.
We are building the backbone of freight by reinventing supply chain infrastructure with carrier agnostic truck terminals. Backed by $1B from Greenpoint Partners, we are a high-performance team with a championship mindset that executes relentlessly.
Assist in developing computer vision models for wildfire detection and environmental monitoring.
Help implement and maintain ML/CV pipelines and deploy models on NVIDIA Jetson edge platforms.
Collaborate with AI researchers, software engineers, and product teams to optimize and document solutions.
Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco.
Own core computer vision models from 3D human pose to body modeling, shipping them to production.
Manage the full data lifecycle including training frameworks, annotation workflows, and evaluation pipelines.
Extend movement understanding into multimodal AI and automate model training and deployment systems.
Sword is building AI to heal billions, pioneering an AI-native care platform that delivers personalized, connected healthcare without traditional barriers. Backed by $500M and with over 1 million members and 2,000+ enterprise clients, Sword is a fast-growing frontier AI lab with a culture of clinical rigor and AI fluency.
Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives.
Build Data Warehousing systems, reporting and analytics.
Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development.
Loadsmart is a growth-stage logistics technology company valued at over $1 billion, reinventing the future of freight by helping shippers, brokers, warehouses, and carriers move more with less. With headquarters in Chicago and a globally distributed remote team, we are a collection of industry veterans and user-centered engineers committed to driving meaningful change.
Evaluate LLM responses for accuracy, clarity, and completeness.
Fact-check technical claims using authoritative references.
Validate code and outputs, and annotate model performance.
Prolific builds the largest pool of high-quality human data for AI development, serving over 35,000 AI developers, researchers, and organizations. They connect researchers with a global community to collect ethically sourced behavioral data.
Act as the central point of contact between RHR and customers to ensure project success after orders are placed.
Monitor customer needs and coordinate with engineering, deployment, and support teams to achieve satisfaction.
Travel 25-33% for in-person and web-based training and project management.
RightHand Robotics reshapes order fulfillment by automating item handling for e-commerce, apparel, pharma, and other industries. They are a growing team experiencing strong demand for their product, RightPick, in US and international markets.
Develop, deploy, and maintain machine learning models in production environments using AWS SageMaker or similar platforms.
Perform exploratory data analysis, feature engineering, and build data pipelines to support scalable ML workflows.
Monitor production models, address performance issues, and collaborate with engineering and business stakeholders to deliver data-driven solutions.
Google is a global technology company that develops products and services to organize information and make it universally accessible and useful. The company is a large multinational with a culture focused on innovation, collaboration, and data-driven decision-making.