Develop and evaluate deep learning models for feature detection, matching, depth estimation, and visual localization.
Own data preparation, training workflows, and evaluation of learned components for vision-based navigation.
Partner with state estimation and deployment engineers to integrate and optimize models for onboard systems.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians, with products like Hivemind autonomy software and V-BAT aircraft. It has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, actively supporting operations worldwide.
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.
Develop geospatial and remote-sensing methods for change detection, object detection, and segmentation.
Evaluate deep learning approaches against simpler baselines for production viability.
Extend methods across optical, thermal, and SAR imagery.
Orcrist builds secure data intelligence software for defense, law enforcement, and enterprise teams. The company is small enough to offer a remote-first culture with close collaboration.
Work directly with leading AI labs and enterprises to define research goals and technical requirements.
Build data intelligence systems and implement ML pipelines for data curation, model training, and evaluation.
Develop LLM applications, including multi-agent systems, RAG workflows, and evaluation harnesses.
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.
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.
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.
You will own the technical vision and architecture for an AI-powered SaaS platform.
You will lead the development of AI/ML pipelines, computer vision systems, and production-grade machine learning.
You will build and maintain a high-performing, accountable, and collaborative engineering culture.
They are a fast-growing technology company focused on AI, computer vision, and industrial applications. The organization is scaling its engineering teams and culture to support rapid growth.
Embedded with client teams to solve real business problems and ship working software.
Scope and design technical solutions, building production tools end to end.
Work directly with client stakeholders, translating ambiguous asks into shipped features.
AiStudio is an AI consultancy that embeds engineers directly inside portfolio companies of leading private equity firms to build production AI solutions that move real metrics. The company has a bias toward outcomes and ships code that drives cost savings, automation, and revenue.
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.
Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
Own large problems end to end across the stack, building a multi-agent orchestration SDK and CAD conversion pipeline.
Develop 3D-to-3D search across real customer part libraries and integrate constraint solvers with AI agents.
Address open problems in geometry reasoning and deploy hybrid cloud solutions for manufacturers.
3ive builds an AI co-engineer for physical products that works natively in 3D and learns from engineering decisions. The company is in production with major European manufacturers and has real revenue and customers.
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.
Serve as the technical bridge between Tenstorrent and customers across Southeast Asia, guiding evaluations and deployments of AI platforms.
Troubleshoot hardware and software issues, and translate complex AI/ML concepts for both technical and non-technical audiences.
Build trust with customers and internal teams through proactive problem solving and regional travel.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. They value collaboration, curiosity, and a commitment to solving hard problems.
Build and improve core components of the Agent Runtime, including intent routing, RAG, and multi-step agent workflows.
Design and optimize Tool Server / Tool Calling capabilities for agent execution and integration.
Develop evaluation datasets and harnesses to measure agent quality and reliability.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. With over 320 million users in 100+ countries, Binance offers a dynamic, flat-structured environment focused on innovation and growth.
Own the quality analysis of annotated data across computer vision and ML programs, making judgment-heavy calls that cannot be outsourced.
Analyze annotation data to detect anomalies and distinguish between annotation error, model error, and genuine field degradation.
Build and maintain performance trackers, root cause analysis documentation, and pattern libraries that the team relies on.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows, making operations smarter and safer. The company is a small, fast-moving engineering team with a culture of deep technical accountability and cross-functional collaboration.
Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through to production deployment.
Run supervised fine-tuning and post-training experiments, establishing benchmarks and evaluation harnesses.
Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at high volume.
Stream provides APIs and SDKs for building activity feeds, chat, and voice/video, powering over a billion end users worldwide. We are a team of over 120 peers from over 35 countries, with a casual social culture that values transparency and excellence.
Own the technical architecture and roadmap for a multi-RAT RAN digital twin covering LTE and 5G NR.
Integrate production MAC and scheduler software into deterministic closed-loop simulations with stable interfaces.
Develop AI/ML-based RAN capabilities including neural channel estimation and learned scheduling policies.
Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. The company culture emphasizes software-centric, hardware-agnostic approaches to reduce complexity and total cost of ownership.
Design and ship ML systems for document understanding, extraction, classification, and scoring to power Copilot and Autopilot features.
Own the full lifecycle of ML solutions from problem framing to production monitoring, using user feedback and error analysis to drive continuous improvement.
Partner with product, engineering, and accounting experts to integrate ML naturally into user workflows and define quality metrics that reflect real value.
Pennylane is a fast-growing fintech building the financial operating system for French SMEs and accounting firms, with a vision to expand across Europe. The company has grown to 1,000 employees, raised €400 million from Sequoia, and maintains a remote-friendly culture with a 4.6/5 Glassdoor rating.