--- title: 'AI Trainer: Code Generation at Embedding VC' canonical: 'https://feeny.ai/job/ai-trainer-code-generation-embedding-vc-palo-alto-1c87zmxs51kx' type: 'job' last_seen: '2026-09-09' --- # AI Trainer: Code Generation at Embedding VC - **Company:** Embedding VC - **Location:** Palo Alto, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-02-19 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/embedding-vc/5b38ad5c-ea98-46af-92e9-b4e01f746c41 ## Job description ## AI TRAINER: CODE GENERATION ## OVERVIEW We are building a focused group of engineers to improve how large language models reason through real world code. This initiative centers on evaluating and refining multi step reasoning trajectories derived from real GitHub repositories, with the goal of producing higher quality, more reliable code generation outputs. This is a long term project requiring strong engineering judgment rather than surface level labeling. Contributors will work directly with complex code paths and reasoning flows across multiple platforms. ## WHAT YOU WILL DO You will analyze and refine multi step code reasoning trajectories generated from real production repositories. This includes: - Reviewing model generated reasoning sequences - Identifying logical inconsistencies or weak reasoning steps - Improving trajectory structure to produce stronger, production grade outputs - Evaluating reasoning quality across different programming environments The work is closer to debugging model logic and reasoning systems than to traditional annotation tasks. ## WHAT WE ARE LOOKING FOR We are looking for engineers with strong hands on development experience and deep familiarity with real codebases. You should: - Be proficient in at least two mainstream programming languages such as Python, C++, Java, TypeScript, or JavaScript - Have real world development experience in areas such as backend systems, frontend applications, algorithms, testing, or infrastructure - Be comfortable reading and reasoning through large GitHub repositories - Have strong written communication skills Experience contributing to high visibility or high star GitHub repositories is a strong plus. ## ADDITIONAL DETAILS We expect to onboard approximately 10 to 20 engineers for this long term initiative. A short qualification exercise may be required prior to joining. ## About Embedding VC ## Company Overview - **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries. - **Entity Type**: Private (Venture Capital Firm) - **Headquarters**: Menlo Park, California, United States - **Founded**: 2023 - **Founders**: Roger Luo (Founder & Managing Partner) ## Core Business - Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence - Target customers: Early-stage Generative AI startups (Seed and Series A) - Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations. ## Products & Services - **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social. - **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators. ## Market Standing - **Valuation/Market Cap**: Not applicable (Venture Capital firm) - **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months. - **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures. - **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026. ## Competitive Advantages - **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies. - **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem. - **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends. ## Strategic Focus - **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies. - **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis. - **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social. ## Why Work Here - **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership. - **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position. - **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself. ## Sources 1. [embedding.vc](https://www.embedding.vc/) 2. [linkedin.com](https://www.linkedin.com/company/embeddingvc) 3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc) 4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0) 5. [builtin.com](https://builtin.com/company/embedding-vc/teams) ## Other roles at Embedding VC - [IT & Information Security Manager](https://feeny.ai/job/it-information-security-manager-embedding-vc-san-francisco-sk44dfr9pp9h) — San Francisco, CA - [Software Engineer, Agent](https://feeny.ai/job/software-engineer-agent-embedding-vc-san-francisco-b6gjwsa8j7qj) — San Francisco, CA - [Senior/Staff Software Engineer, Agent](https://feeny.ai/job/senior-staff-software-engineer-agent-embedding-vc-san-francisco-yqmv1e6jkzym) — San Francisco, CA - [Software Engineer, Enterprise AI Platform](https://feeny.ai/job/software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-qhqpjezbrxvg) — San Francisco, CA - [Senior Software Engineer, Enterprise AI Platform](https://feeny.ai/job/senior-software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-w4p49q7xp4qm) — San Francisco, CA - [Senior Product UI/UX Designer](https://feeny.ai/job/senior-product-ui-ux-designer-embedding-vc-san-francisco-6njqf9mjhek8) — San Francisco, CA - [Lead AI Native Engineer](https://feeny.ai/job/lead-ai-native-engineer-embedding-vc-milpitas-e8kp7wddrx7f) — Milpitas, CA - [Senior Product Manager, Enterprise](https://feeny.ai/job/senior-product-manager-enterprise-embedding-vc-san-francisco-w2jf6kkspg4w) — San Francisco, CA - [GTM Specialist](https://feeny.ai/job/gtm-specialist-embedding-vc-san-francisco-awtfmvetn3gd) — San Francisco, CA - [GTM Lead](https://feeny.ai/job/gtm-lead-embedding-vc-san-francisco-5qgfnawtcd4k) — San Francisco, CA