Drive technical and product development for an AI-powered B2B venture from problem validation to MVP.
Design data strategy, including collection, labeling, evaluation, and continuous improvement.
Architect and deliver a reliable prototype or MVP, incorporating APIs, data pipelines, and safeguards.
The company is an early-stage B2B venture focused on leveraging AI and data to solve real business problems. It operates within a structured 12-week startup sprint supported by a global network of over 500 mentors and a community of more than 440 startups across 40 countries.
Define and execute a comprehensive data strategy for AI model training, simulation, and production deployment in safety-critical autonomous systems.
Own the end-to-end data pipeline from raw collection and labeling through curation, versioning, and delivery at scale.
Build and maintain data flywheels and lead a team of data and infrastructure engineers.
Merlin is a publicly traded aerospace and defense company building the Merlin Pilot, a non-human pilot system delivering full-stack autonomy for any aircraft. Headquartered in Boston, Merlin is a small, innovative, and team-focused startup-like environment that supports professional development.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Lead customer technical projects to deliver production-grade data and AI solutions on the Databricks platform.
Design and architect end-to-end systems spanning data engineering, AI, and application development.
Work hands-on with customers, guiding architecture and empowering adoption through training and implementation.
Databricks is the data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, the company is headquartered in San Francisco with 30+ offices globally.
Lead three highly technical teams spanning machine learning engineering, computer vision, forecasting, and data platform.
Ensure machine learning systems move reliably from research to production with measurable real-world impact.
Manage, mentor, hire, and grow the department of engineers and data engineers across three distinct teams.
Apella Technology applies machine learning to surgical healthcare operations, using computer vision and forecasting to improve clinical workflows. The company fosters a remote culture and is an equal opportunity employer, encouraging diverse backgrounds to apply.
Lead the design and delivery of enterprise-scale AI/ML solutions, focusing on agentic AI and healthcare claims automation.
Serve as a trusted advisor, translating complex business challenges into scalable, production-ready AI solutions.
Drive implementation using AWS Bedrock AgentCore and related services, collaborating with data scientists, engineers, and healthcare specialists.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on objective candidate evaluation and efficient recruitment processes.
Design, scale, and deploy production-ready computer vision and ML architectures for satellite imagery.
Lead full-lifecycle model R&D from data curation through training, validation, and error analysis.
Drive model robustness across challenging real-world conditions and optimize AWS GPU workloads.
BlackSky is a real-time intelligence company that operates a space-based intelligence platform providing satellite imagery, automated analytics, and monitoring for national security and commercial customers. Its global team is people-first, customer-focused, and works with cutting-edge technology to deliver foresight and strategic advantage.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
Refactor and upgrade existing ML models into standardized, production-ready modular contracts.
Engineer resilient ML workflows with DAG-based orchestration tools like Argo Workflows and Airflow.
Build infrastructure for shadow testing, A/B testing, and structured feedback pipelines for safe deployment.
Smart Working connects skilled professionals with outstanding global teams and products for full-time, long-term roles. It is a remote-first company known as one of the highest-rated workplaces on Glassdoor, fostering a genuine community that values growth and well-being.
Lead the design, implementation, deployment, and operation of complex platform capabilities supporting the machine-learning lifecycle.
Build reusable platform components, standards, and automation while improving reliability, scalability, and observability across ML systems.
Partner with Data Science, Product, Risk, Fraud, and Engineering teams to translate ambiguous business needs into practical technical solutions.
Oportun is a mission-driven financial services company that helps members build a better financial future through intelligent borrowing, savings, and budgeting. The company has provided over $22.7 billion in responsible credit and its culture emphasizes speed, high standards, and the thoughtful use of AI.