Define and execute AI/ML strategy aligned with product and business priorities.
Lead high-performing teams across machine learning, applied AI, data science, and research.
Oversee production ML systems, model evaluation, and responsible AI standards.
SignalFire is a VC firm partnering with early-stage startups across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. With 200+ portfolio companies, they connect exceptional leaders with exclusive startup opportunities.
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.
Design and build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Build and ship AI features end-to-end, from model to system to user experience.
Design and iterate on prompts, tools, memory, and agent workflows for real-world reliability.
Debug full-stack issues and optimize for latency, cost, and production performance.
A1 builds a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The team is small, world-class, and focuses on rapid iteration and shipping high-quality AI products.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Lead the end-to-end lifecycle of language models and AI solutions, from research to production.
Navigate between closed and open-source ecosystems to maximize quality, optimize latency/cost, and ensure data governance.
Conduct applied research, experimentation, and data curation to create new AI capabilities and continuously improve existing ones.
Blip is a technology company that develops conversational AI and customer service platforms. The company fosters a culture of innovation and technical excellence, with a team of engineers and researchers working on cutting-edge AI solutions.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
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.
Operate as a self-sufficient, T-shaped, full-stack AI/ML engineer
Recommend AI/ML-driven solutions and implement them
Review technical architecture documentation for the project and ensure that the engineering team’s deliverables are implemented accordingly
Serious Development is a boutique healthcare strategy, product, and software engineering firm. We partner with healthcare organizations to solve complex operational challenges through thoughtfully designed custom software.
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.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform.
Own the journey from initial exploration to production deployment, translating ambiguous goals into reliable services.
Work across product, software development, performance engineering, and customer-facing implementations.
Baseten powers mission-critical inference for dynamic AI companies like Cursor and Notion. They are rapidly growing, recently raised a $1.5B Series F, and foster a collaborative, forward-thinking culture.
Design and own the playbook for AI productization, governance, and reusable internal tooling.
Champion AI-assisted development, TDD, and modern CI/CD practices across the organization.
Act as the primary technical authority bridging AI/ML architecture and executive strategy.
RYZ Labs is a startup studio that creates industry-defining companies by leveraging top talent and cutting-edge cloud technologies. Founded in 2021, we have a remote team across the US and Latam, with a culture of autonomy, ownership, and continuous improvement.
Design and implement scalable agentic solutions for diverse use cases.
Build and maintain a centralized AI platform with unified APIs for cross-functional team access.
Lead technical discussions, mentor junior engineers, and set the technical vision for the AI platform roadmap.
Cotiviti is a healthcare data analytics company that provides payment accuracy and quality improvement solutions. The company has a large global workforce and emphasizes a collaborative, innovative culture.
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.
You will experiment with emerging technologies and contribute to building new models and systems.
You will implement prototypes in Python and focus on delivering solutions to production.
You will partner with the platform engineering team to streamline MLOps workflows and maintain high code quality.
Verve creates a more efficient and privacy-focused way to buy and monetize advertising by fusing data, media, and technology. With 30 offices globally, they serve top advertisers and publishers and foster a collaborative, fun culture.
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.
Develop end-to-end data processing pipelines for display characterization and machine learning algorithms for visual artifact detection.
Design and implement anomaly detection models and automated analysis tools for display performance.
Collaborate with cross-functional hardware teams and maintain data infrastructure for ML workflows.
itD is a consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a flat structure and a focus on delivering excellent results.
Identify and map workflows to find step-change opportunities for AI automation.
Design and build future-state workflows using agents, integrations, and human-in-the-loop checkpoints.
Deploy and run agents in production, tracking KPIs and iterating on performance.
Natera is a global leader in cell-free DNA testing, focusing on oncology, women's health, and organ health. The company employs a diverse team of dedicated professionals from world-class institutions, fostering a collaborative and inclusive culture.