Design and implement AI capabilities for intelligent data characterization and decision support.
Evaluate, optimize, and deploy open-weight foundation models for resource-constrained edge environments.
Develop efficient inference pipelines and implement RAG, semantic search, and model optimization techniques.
Expression provides data fusion, analytics, AI/ML, software engineering, and spectrum management solutions to the U.S. Department of Defense and national security community. Founded in 1997 and headquartered in Washington DC, the company was ranked #1 on Washington Technology's 2018 Fast 50 and is a Top 20 Big Data Solutions Provider, fostering a collaborative culture with opportunities for growth.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Design, develop, and deploy production machine learning models for perception systems, owning end-to-end model development.
Analyze model performance, identify failure modes, and improve robustness across diverse driving environments.
Collaborate with cross-functional teams to integrate perception models into production autonomy software.
Torc Robotics has been a leader in autonomous driving since 2007, pioneering software for self-driving vehicles. Now part of the Daimler family, they focus on developing software for automated trucks, with a collaborative and energetic culture that values diverse perspectives.
Design, develop, and deploy ML models for object detection, scene understanding, and 3D asset placement
Train and fine-tune models on 3D datasets to generate realistic visualizations while preserving image fidelity
Collaborate with graphics and full-stack teams to integrate AI models into the product pipeline
Homekynd builds the spatial intelligence layer for enterprise retail, transforming photos into 3D room models for immersive furniture visualization. We are a remote-first team on a fast build timeline, seeking engineers who want real ownership over hard problems.
Coordinate with AI and Network Software Engineers to design low-latency multi-node communication frameworks in restricted and/or disconnected environments.
Quantize, compile, and deploy real-time multi-agent pipelines for readiness across diverse edge architectures.
Develop algorithms for asynchronous multimodal data fusion, tracking, and signal processing.
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure for personalized AI, focusing on private deployment at the edge. The company is a team driven by truth, ownership, tenacity, and humility, seeking individuals passionate about shaping next-generation AI.
Architect and build AI platforms, working across distributed teams to deliver GenAI products like Abacus Agents, MCP, and RAG systems.
Develop ML/AI pipelines for data preprocessing, model training, and evaluation, enabling rapid experimentation and self-healing systems.
Mentor software developers, participate in architectural discussions, and communicate technical direction to align teams and stakeholders.
Abacus Insights transforms healthcare data for health plans to improve outcomes, reduce waste, and enhance member and provider experiences. Backed by $100M from top investors, the company is a collaborative, curiosity-driven team of bold individuals embracing AI and automation to innovate in the healthcare industry.
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, build, and own data pipelines moving data from application and third-party sources into relational databases.
Build and ship production AI systems, including data infrastructure and evaluation systems for feature reliability.
Set standards for data work through clear writing, early context sharing, and team efficiency.
Dscout builds a flexible UX research platform trusted by top brands in finance, healthcare, and tech. They are a remote-first team of passionate professionals that prioritize learning, diversity, and inclusion.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.
Develop and implement AI-based data assimilation systems to improve weather forecasting.
Design data pipelines and integrate diverse observational datasets for model training and evaluation.
Communicate findings and collaborate with NOAA scientists to ensure robust system deployment.
Lynker provides professional, scientific, and technical services, specializing in hydrology, geospatial analysis, IT, and resource management. As an employee-owned business, they foster a collaborative culture of skilled professionals focused on creative solutions.
Build AI platform and production systems supporting computer vision, perception, simulation, and mapping products.
Own critical parts of the AI platform, including orchestration, APIs, and deployment patterns.
Partner with data scientists and simulation engineers to reduce iteration friction and design production architecture.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. The company is an equal opportunity employer with a focus on innovation and inclusion.
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.
Own the offline dataset pipeline converting multi-sensor data into VLM/VLA training datasets.
Develop VLM-assisted auto-labeling with open-vocabulary detection and semantic enrichment.
Curate long-tail scenarios to measurably improve downstream model performance.
Torc develops autonomous driving software for trucks to transform freight movement. As a pioneer in autonomous technology since 2007 and now part of Daimler, we foster a collaborative, energetic, and team-focused culture.
Develop geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Curate large-scale datasets and optimize post-training workflows for machine learning models.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. The company is small and rapidly growing, with a culture focused on applying advanced AI to real engineering problems.
Lead efforts in engineering, building, testing, and deploying advanced cloud-enabled AI/ML solutions for surveillance, targeting, and engagement operations.
Partner with project managers and engineering teams to define objectives for UI/UX systems and develop prototypes to address mission-specific requirements.
Conduct rigorous testing, analyze test data, and refine systems to ensure robustness, scalability, and cyber resilience.
Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. Founded in 2008, the company has over 17 years of experience and a corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation.
Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data.
Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements.
Lead technical initiatives from early experimentation through production implementation and ongoing improvement.
The company develops intelligent automation solutions using AI and machine learning for large-scale document processing. It offers a highly autonomous engineering environment with a focus on continuous improvement and innovation.
Design, train, and ship ML systems for governance and security like anomaly detection and trust scoring.
Build data pipelines, model serving, evaluation frameworks, and feedback loops.
Set technical direction, own architecture, and help recruit and mentor as the team grows.
Docker provides developer tooling trusted by over 20 million monthly users and billions of container pulls. They are a globally distributed, remote-first team building tools for software delivery.
Own end-to-end ML system execution including data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
Architect scalable inference systems, balance latency, cost, and reliability, and deploy production-grade ML solutions.
Gina's Tech Jobs is a recruiting and staffing company that helps firms hire technical talent. They are a small agency focused on IT roles, fostering a high-trust, collaborative environment.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads.
Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
Build performance tooling, optimization playbooks, and efficiency primitives that benefit multiple teams.
Reddit is a community of communities built on shared interests and authentic conversations. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit has a flexible workforce and values collaboration.