Founding ML/Data Science Engineer

Location: San Francisco, CA (Hybrid) Employment Type: Full-time

About the Role

Our client is building the revenue execution system for B2B enterprises, tackling the underpenetrated space of post-sales enablement. They are combining LLMs with structured customer data to automate account scoring, cohort segmentation, and expansion playbooks. As a Founding ML/Data Science Engineer, you'll work directly with the founders to architect, build, and scale this platform from 0 to 1, with full ownership of core features.

This role requires a hybrid engineer who can both architect production ML systems and make sophisticated modeling decisions. You'll need to be equally comfortable with classical ML and cutting-edge language models.

Core Responsibilities

Location: San Francisco Bay Area

Employment Type: Full-time

Work Arrangement: Hybrid

About the Role

Our client is building the first browser-native AI agents for financial advisory. Their agents can see what's on-screen, understand context, and perform compliant actions and multi-step workflows across any tool without APIs. They are a VC-backed startup with millions in funding and support from leading fintech investors.

They are seeking a Founding Fullstack Engineer to work closely with the CTO, CPO, and design team to deliver core product features and evolve their AI agent platform. This role offers early ownership, rapid shipping, and direct influence on the company's technical direction.

What You'll Do

• Cover the full stack, including front-end web applications and back-end services.
• Develop core features for browser automation and enterprise integrations.
• Evolve and integrate AI-driven workflows into the platform.
• Own projects from conception to deployment in a high-autonomy, fast-paced environment.

Requirements

Location: Los Angeles, CA (Santa Monica)

Employment Type: Full-time

On-site: 5 days/week in-person

About the Role

Our client is building fully autonomous AI agents that can find, exploit, and patch complex vulnerabilities in web applications at massive scale, moving at the speed of AI-generated code. As a Founding Full-Stack Software Engineer (with a strong focus on backend and AI), you will be crucial in designing and developing their core agent systems and scalable web applications. You will be joining an early-stage startup with a deep technical focus on the intersection of Cybersecurity and AI.

Key Responsibilities

• Design and develop modular, reusable, and maintainable features primarily using Python.
• Design and create RESTful APIs in Python specifically to power AI Agents.
• Build Agentic AI systems and custom tools/protocols for cybersecurity applications.
• Design efficient PostgreSQL database systems and optimize backend services for performance and scalability.
• Build and maintain backend systems using technologies like Docker and Kubernetes, and diagnose/optimize code bottlenecks.

Requirements

Location: Palo Alto, CA

Employment Type: Full-time

On-site: 5 days/week in-office

About the Role

Our client, an AI company focused on dramatically accelerating semiconductor design, is seeking a world-class ML leader to architect and own their entire AI roadmap. They are solving the critical problem of exponentially increasing chip design costs by providing an integrated AI agent and code editor workflow to make silicon engineers 4x more productive. This is a foundational role where you will define the technical trajectory across the platform, including code generation, reinforcement learning, and layout optimization.

This position requires a deep, hands-on expert who can lead a growing ML team while actively contributing to the technical work.

Responsibilities

Location: New York, NY (On-site) or Remote (Pacific Time hours)

Employment Type: Full-time

About the Role

Our client is a fast-growing tech startup building the future of APIs, with over $35 million in funding from top-tier investors. They work directly with industry leaders like OpenAI, Anthropic, and Cloudflare. As a Forward Deployed Software Engineer, you'll be an Applied AI Engineer who builds and deepens the technical relationship with these critical users. This role is a dynamic mix of engineering, product, and deployment, focused on solving high-impact problems alongside the people shaping the future of AI.

To thrive here, you’ll need strong judgment, broad technical fluency, and a passion for developer experience.

What You'll Do

About the Role

Our client is a global company that helps some of the world's most important institutions use data to solve their most urgent problems. As a Forward Deployed Software Engineer, you’ll work directly with customers to understand their challenges and use data to design and implement impactful solutions. This role is a unique opportunity to gain rare insight into and contribute to industries like national security, healthcare, and energy.

Your responsibilities will be similar to those of a startup CTO. You’ll be part of a small team and own the end-to-end execution of high-stakes projects, from discussing architecture with fellow engineers to wrangling massive-scale data and speaking with customer executives.

What You'll Do

• Work directly with customers to understand their problems and design solutions using data.
• Own the end-to-end execution of high-stakes projects.
• Span a variety of tasks, including architecture discussions, data wrangling, custom coding, and strategic planning.
• Help organizations use their data to drive real-world impact.

Requirements

Applied AI Engineer

Location: NYC Employment Type: Full-time On-site: 5 days/week in-office

About the Role

Our client, an AI-first company backed by top-tier investors, is looking for an Applied AI Engineer to join their team. They are building a platform that applies AI to every step of bringing new therapies to market, ensuring patients get life-changing treatments as quickly and affordably as possible. This role is a high-impact opportunity to work on real-world production use cases of LLMs and other ML techniques to solve complex business problems.

This is a demanding role with a high level of autonomy. The client is looking for someone who can "act like an owner" and take end-to-end responsibility for projects, from initial definition and design through to launch and success.

What You'll Do

About the Role

We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries.

What We're Looking For

We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills.

What You'll Do

• Design and implement statistical models and machine learning algorithms to detect fraudulent patterns.
• Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications.
• Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals.
• Collaborate closely with engineering and product teams to bring data science solutions into production.
• Shape the intelligence layer of our platform by applying thoughtful experimentation and model evaluation techniques.

Requirements

About the Role

We're an AI-native company leveraging AI to automate complex back-office workflows and tasks in the freight industry. Our mission is to unlock profits and lower costs by addressing the bad data and inefficient workflows that plague the supply chain. We’re expanding our AI team and are looking for a talented AI Engineer to build both AI models and features that directly impact our business. The role is broad, offering the opportunity to work on everything from training and deploying in-house multimodal Large Language Models (LLMs) to scaling our inference infrastructure and building AI agent workflows.

What You'll Work On

Your primary focus will be on document extraction and understanding, using multimodal LLMs to extract, normalize, and link data with a high degree of accuracy. You'll also work on scaling our machine learning platform to handle significant increases in training and inference volume. Future projects will include expanding our AI capabilities into workflow automation and audit using AI agents.

This role spans multiple domains:

We are building the next generation of conversational AI agents to automate workflows for businesses. Our platform is an AI-native help desk that allows human agents to work alongside AI, increasing automation over time. Our AI agents handle both reactive and proactive automation across various channels like calls, SMS, and email, while maintaining a single, coherent conversation thread. We are a small, fast-moving team with a mission to maximize conversational automation for high-touch businesses.

We need a motivated and ambitious Backend Engineer with hands-on experience building production backend systems. You should be comfortable hardening reliability, pushing down latency, evolving data models safely, and creating "paved roads" that make every other team faster. You'll thrive in our small, fast-paced startup environment where you can take on significant responsibility.

Requirements