Design, develop, and deploy AI/ML models to automate and improve internal workflow.
Build and maintain ML pipelines within an AWS cloud environment.
Integrate ML capabilities into existing Java and React application workflows.
Oddball aims to improve daily lives by delivering quality software to the federal space. With a team of experienced engineering, product, and UX professionals, we value learning, growth, and making a big impact in a rapidly growing company.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
Design and maintain data pipelines and auto-labeling systems to support ML model training from multimodal data.
Write and optimize SQL queries for data extraction, analysis, and ingestion from various sources.
Develop and prototype learning-based models using a data-centric approach with techniques like active learning and fine-tuning.
Serve Robotics is reimagining urban delivery with sidewalk robots, aiming to reduce congestion and support local businesses. The team is an agile, diverse group of tech industry veterans focused on robotics, machine learning, and end-to-end user experience.
Design, train, evaluate, and ship ML systems for governance and security, starting with prompt injection detection and behavioral anomaly detection.
Build supporting infrastructure including data pipelines, feature stores, model serving, and evaluation harnesses.
Set technical direction for ML work, own architecture, evaluation methodology, and model lifecycle.
Docker provides developer tools for building, sharing, and running applications across Docker Desktop, Docker Hub, and Docker Scout. With over 20 million monthly users and a globally distributed remote-first team, Docker is trusted by solo founders to the world's largest companies.
Develop and improve AI/ML solutions for autonomous driving and future sensing objectives.
Apply techniques like unsupervised pre-training, imitation learning, and reinforcement learning to perception problems.
Collaborate cross-functionally to integrate models into production and evaluate sensing tradeoffs across real-world scenarios.
General Motors is redefining mobility through human-centered design, creating vehicles and experiences that aim to make driving safer, smarter, and more connected. With a global footprint and a culture focused on innovation and inclusion, GM’s diverse team brings collective passion for engineering, technology, and design to deliver on a vision of Zero Crashes, Zero Emissions, and Zero Congestion.
Lead applied ML initiatives for identity verification, focusing on computer vision models like face liveness detection and anti-spoofing.
Build, train, and optimize deep learning models and pipelines on AWS with strong reproducibility and monitoring.
Collaborate across teams to ensure ML solutions meet privacy, compliance, and reliability requirements.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, serving over 7,500 organizations worldwide. The company is headquartered in San Diego with operations across multiple countries and emphasizes a Virtual 1st culture, valuing flexibility and inclusion.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
Work closely with customers to integrate the LIGER GenAI platform into their existing business processes.
Build new functionalities and enhancements within the LIGER platform to meet specific customer needs.
Ensure successful deployment and initial configuration of the LIGER platform.
LMI is a digital solutions provider that accelerates government impact with innovation and speed. They bring commercial-grade platforms and mission-ready AI to federal agencies. LMI is headquartered in Tysons, Virginia, and is committed to delivering impactful results.
Design, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Act as pre-sales technical lead for federal pursuits, leading discovery workshops and architecting AI security solutions in SaaS and airgapped environments.
Build mission-focused demonstrations and proof-of-concept AI applications, integrating SDKs and APIs to protect computer vision, LLM, and agentic workloads.
Advise customers on securing AI infrastructure aligned to MITRE ATLAS, OWASP Top 10 for LLMs, and NIST AI Risk Management Framework.
HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. Founded by AI professionals and security specialists, the company has been recognized with awards such as RSA Innovation Sandbox Winner and CB Insights AI 100, and has a venture-backed team focused on accelerating secure AI adoption.
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.
Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.
Be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status.
Do real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.
Break complex problems into concrete experiments and execute on them, independently or with a team.
AE Studio is a 160-person, fully bootstrapped ML consultancy that has spent over a decade building and shipping AI systems for clients. Without outside investors, we put money into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work.
Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They have 550+ professionals globally and power everything from real-time communication and streaming to enterprise AI and secure web applications.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.