--- title: 'Member of Technical Staff (Research Engineering) at ATG' canonical: 'https://feeny.ai/job/member-of-technical-staff-research-engineering-atg-new-york-4xae9avfnysc' type: 'job' last_seen: '2026-09-13' --- # Member of Technical Staff (Research Engineering) at ATG - **Company:** ATG - **Location:** New York, NY - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-07-15 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.ashbyhq.com/atg/04bc29f4-7aff-4e73-ae24-a60abb0094c3 ## Job description ## About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. [Autonomous](https://becomeautonomous.com) is an agentic wealth manager built on this foundation. Founders: Early GPU cloud (9 figure exit). Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other top-tier angels. ## About the Role You’ll bridge research and engineering—rapidly implementing, experimenting with, and scaling new algorithms and models. You’ll work closely with scientists and founders to translate ideas into high-performance systems, and will operate across the stack from prototyping to deployment. ## Responsibilities - Prototype and scale experimental models (LLMs, RL agents, agentic systems) on large, real-world data. - Build tools and pipelines for training, evaluation, and analysis. - Implement state-of-the-art research from papers and iterate in collaboration with scientists. - Own the full ML lifecycle: data engineering, experimentation, training, and deployment. - Operate in a highly autonomous, engineering-driven environment. ## Requirements - Strong background in deep learning, reinforcement learning, or computational modeling. - Expert-level Python and significant experience in ML frameworks (PyTorch, JAX, TensorFlow). - Ability to translate research into robust, scalable systems. - Experience with distributed computing or large-scale ML pipelines. - Demonstrated curiosity and hands-on experimentation skills. - Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. ## Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you. - Work on AI with a massive market opportunity - Early team of repeat founders backed by top investors - High agency, talent dense, zero bureaucracy ## About ATG ## Company Overview - **One-liner**: ATG (Autonomous Technologies Group) is an applied AI research lab deploying frontier reasoning systems within financial markets to build a super-intelligent financial companion. - **Entity Type**: Private (early-stage startup) - **Headquarters**: New York City, NY, USA - **Founded**: Not publicly available - **Founders**: Repeat founders with a previous 9-figure exit in GPU cloud infrastructure (names not publicly disclosed) ## Core Business - Primary industry/industries: Artificial Intelligence, Financial Technology (Fintech), Wealth Management - Target customers: B2C (individuals seeking personalized financial guidance and portfolio management) - Mission or purpose statement: To build a financial superintelligence that deeply understands the market, deeply understands each individual's financial life, and advances its representational capabilities to communicate complex insights with clarity and trust. ## Products & Services - **Autonomous (The Product)**: An application that onboards users into a system that learns their complete financial life and guides them with precision. It synthesizes quantitative and qualitative signals to surface causal forces driving market behavior. The system is designed to eventually act autonomously on the user's behalf, handling everything from tax alpha optimization to market timing decisions, with a focus on transparency and trust. It is a dynamic, generative UI system that adapts across voice, charts, and written analysis. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total Funding not publicly disclosed; backed by top-tier investors - **Notable Investors/Partners**: - Garry Tan (President of Y Combinator) - Founder of one of the most successful quantitative hedge funds (undisclosed) - BoxGroup (investors in Plaid, Ramp, Stripe) - Top-tier angel investors - **Growth Signals**: Building a small, elite team; hiring for high-agency roles across research, engineering, and design; founders have a proven track record (9-figure exit); operating at the frontier of AI reasoning in financial markets. ## Competitive Advantages - **Frontier AI Research**: An applied research lab, not just a fintech app, with a focus on original research in reasoning systems, LLMs, RL, and agent-based AI. - **Deep Personalization**: The system is designed to understand a user's complete financial picture—preferences, goals, constraints—not just portfolio allocation. - **Tax Alpha Focus**: Delivers sophisticated, repeatable tax optimization strategies at scale, a historically expensive and complex capability. - **Founder-Market Fit**: Repeat founders with deep AI/GPU infrastructure experience and connections to top-tier quant finance. - **High Agency Culture**: Flat, zero-bureaucracy environment where every team member has direct impact on product decisions. ## Strategic Focus - **Research-Driven Product**: Investing heavily in fundamental AI research (new models, algorithms, architectures) and deploying those advances directly into the consumer product. - **Agentic Future**: Building toward a fully autonomous financial agent that acts on behalf of users continuously, regardless of whether they open the app. - **Representation as a Moat**: Developing sophisticated, adaptive communication systems (voice, charts, written analysis) that are calibrated to each user's level of understanding. - **Small, Elite Team**: Prioritizing talent density over headcount growth, with a focus on hiring researchers, full-stack engineers, and product designers who can operate across the entire stack. ## Why Work Here - **Impact**: Work on AI with real stakes in a massive market (personal finance/wealth management). Early team members have direct influence on product direction. - **Culture**: High agency, zero bureaucracy, talent-dense environment. Described as "fast, ambitious, and flat." - **Team**: Work alongside repeat founders with a 9-figure exit and ex-researchers from top companies. - **Work Model**: New York City – Hybrid (onsite preferred for collaboration). - **Compensation**: Competitive; e.g., Full-Stack Engineer roles listed at $170k–$250k/year, Product Designer roles at ~$141k–$191k/year. - **Engineering Culture**: Emphasis on shipping quickly without cutting corners, building as thinking, and using cutting-edge AI tools (Claude Code, Codex, etc.) to prototype and build. - **Perks**: Not explicitly listed, but the environment emphasizes autonomy, learning, and building from first principles. ## Sources 1. [atg.science](https://atg.science/) 2. [remoterocketship.com](https://www.remoterocketship.com/us/company/atg-intelligence/jobs/member-of-technical-staff-full-stack-new-york-city-hybrid/) 3. [lensa.com](https://lensa.com/job-v1/atg-intelligence/new-york-ny/product-designer/7c996814fedbba37bd02bff614852146) 4. 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