Manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment.
Implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments.
Validation of AI/ML pipelines, ensuring models remain accurate, explainable, and aligned with operational objectives.
SOSi, founded in 1989, is a large private technology and services integrator in the defense and government services industry. They deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Bridge security policy and technical execution by translating organizational security requirements into practical solutions.
Design, build, and deploy security controls across web applications, data pipelines, APIs, and Agentic AI systems.
Implement secure-by-design practices throughout the software development lifecycle, including code-level remediations.
EnableComp offers specialty Revenue Cycle Management solutions for healthcare organizations, leveraging 24+ years of expertise and its unified E360 RCM intelligent automation platform. They are a multi-year recipient of the Top Workplaces award and recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024.
Support all project phases from inception through completion.
Facilitate data-driven decision-making by presenting clear, actionable insights to stakeholders and leadership.
Document business value and technical requirements for data-related projects.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As the world’s leading mission capability integrator and transformative enterprise IT provider, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
Lead customer onboarding and implementation for AISim Physics and ML-based solutions.
Serve as a trusted technical advisor to Product and Engineering teams.
Build and maintain reference architectures, integration patterns, and implementation runbooks.
SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. At SandboxAQ, they’ve cultivated an environment that encourages creativity, collaboration, and impact.
Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.
Bugcrowd empowers organizations to take back control and stay ahead of threat actors. With a network of hackers, Bugcrowd brings diverse expertise to uncover hidden weaknesses and adapts swiftly to evolving threats.
Architect, build, and maintain highly scalable batch and streaming pipelines on the Snowflake Data Platform.
Architect and deliver ML/GenAI solutions using managed cloud services.
Implement modern data modeling and architecture patterns; establish and enforce standards for data quality.
FUJIFILM Biotechnologies focuses on making the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. They cultivate a culture that will fuel your passion, energy, and drive.
Design and implement APIs, data pipelines, and simulation runtime logic for mission applications.
Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
Build and integrate modular microservices for improved scalability and maintainability.
They deliver advanced technology solutions, integrating people and processes to tackle complex challenges effectively. The company has a collaborative and supportive team culture.
Partner with Product, Engineering, and Analytics teams to deliver new initiatives.
Develop frameworks, tools, and workflows that enhance efficiency and scalability.
Boulevard provides a client experience platform for appointment-based, self-care businesses. They empower customers to give their clients more of the magical moments that matter most and are built for the broader self-care industry, including many types of salons, spas, and more.
Develop and maintain capacity models for compute, storage, and network infrastructure across global environments.
Build and productionize advanced time‑series forecasts (e.g., ARIMA/ETS, Prophet, XGBoost/LightGBM) to predict demand, saturation points, and runway.
Conduct scenario modeling (“what‑if”) on deployment plans, workload changes, demand spikes, and hardware refresh strategies.
Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 32 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries.
Design end-to-end technical solutions ensuring scalability, reliability, and security.
Lead the architectural strategy for integrating key business applications.
Architect and govern the strategic implementation and integration of AI/ML capabilities within core SaaS platforms.
KnowBe4 is a cybersecurity company that puts security first. They empower organizations worldwide to strengthen their security culture and transform their workforce into their strongest security asset. They value radical transparency, extreme ownership, and continuous professional development.
Architect our AWS-based data warehouse and ingestion pipelines.
Transform high-volume simulation outputs into clean, trusted datasets.
Establish schema standards and data contracts with engineering.
Onebrief provides collaboration and AI-powered workflow software designed for military staffs, making them faster, smarter, and more efficient. The company, founded in 2019, values ownership and excellence, with a team spanning veterans and technologists; it has raised $320m+ from investors and is valued at $2.15B.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transact with confidence. They are backed by world-class investors and have been named to the Forbes Fintech 50 list every year since 2023.
Support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications.
Enable scalable training, evaluation, deployment, and monitoring for a wide range of ML and GenAI workloads.
Manage model upgrades, framework versions, regression testing, maintenance tasks and maintaining performance across systems and solutions.
Achievers' employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. They're a team of passionate, thoughtful builders with more than 4.3 million users across 190 countries, who care deeply about their product, their customers, and each other.
Drive the design, implementation, and evolution of core platform infrastructure and shared services.
Lead mission-critical projects to build and scale foundational platform capabilities.
Work closely with engineers across the organization to adopt shared infrastructure and evolve existing and new products.
Vannevar is a defense technology company building AI to deter adversaries. They are a small agile team combining world-class engineers with veteran strategists, experiencing rapid growth and mission impact.
Ideate, develop and improve machine learning and statistical models.
Develop contextualized feature sets using sports specific domain knowledge.
Constantly improve model performance using insights from experimentation.
Swish Analytics is a sports analytics, betting, and fantasy startup that is building the next generation of predictive sports analytics data products. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Design, build, and maintain high-quality analytical data models that support core brokerage and ledger workflows.
Own critical datasets that power client-facing metrics, operational decision-making, and regulatory reporting.
Partner closely with product managers, engineers, operations, finance, compliance, and CX teams to understand stakeholder needs and translate them into durable data solutions.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, they take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. They’re the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Design and build advanced machine learning models for generative tasks.
Optimize models for performance enhancements and scalability.
Preprocess and manage large datasets for model training.
Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages.
Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability.
Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Their team is small, highly motivated, and focused on engineering excellence with a flat organizational structure.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.