Pear Vc

<h2>About Infi Robotics</h2>Infi's mission is to build a general-purpose fully autonomous factory to unlock physical abundance and reindustrialize America.We are a robotics-native contract manufacturer helping hardware companies take their products from prototype to production at our factory in the San Francisco Bay Area. Our initial focus is automated assembly for robots, drones, and other intelligent hardware.<h2>The role</h2>Build the learning systems and software that turn human assembly expertise into robot capability: the path from demonstrations and production data to trained policies, and the tools to collect data, evaluate behavior, and ship improvements. You have strong software foundations and want to test your ideas against the physical world.<h2>Join us</h2>At Infi, you’ll own foundational projects across robotics, ML, the factory floor, and our first customer programs, and help shape the company’s direction and pace.Apply with a short introduction and something you’ve built. Portfolio, project links, or resumes are welcome.Learn more at <a target="_blank" rel="noopener noreferrer ugc" href="http://infirobotics.com">infirobotics.com</a>.

ML Software Engineer at Infi Robotics

<h2>About Optexity</h2>Optexity is a product-driven research lab building clinical reasoning and computer use models on data no other lab can reach. We deploy directly inside clinics and hospitals — including systems with no APIs, using integration infrastructure we've built and open-sourced — and in return become their preferred partner. That gives us proprietary clinical reasoning trajectories from practicing physicians, and a feedback loop between real patient encounters, our models, and the products built on top of them.We're a small, fast-moving founding team with multiple published papers in NeurIPS, ICML, CVPR etc and background from Apple, Amazon, Microsoft, CMU, IIT.We are backed by world-class investors and leaders like Jeff Dean, Neotribe VC, PearVC, Together Fund and Zapier Fund.<div> </div><h2>How we work</h2><ul><li>Customer obsession — we start with the customer and work backwards</li><li>Intellectual honesty — ideas matter more than titles; we communicate directly and assume good intent, even in disagreement</li><li>Bias for action — we build and learn with customers rather than debate in the abstract</li><li>Extreme ownership — we own outcomes, not just tasks, and see problems through</li></ul>Why this role existsMost research roles at this stage hand you a dataset everyone already has and ask you to be marginally better than the last person who tried. Here you get data nobody else has — real clinical reasoning trajectories from practicing physicians — and the room to figure out what to do with it. This is a founding research hire: you'll define the agenda as much as execute it, with direct founder access, real compute, and nothing between an idea and an experiment.What you'll do<ul><li>Work with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product direction</li><li>Build clinical reasoning models that improve physician and clinic workflows</li><li>Design and publish benchmarks that expose where current LLMs fall short on real clinical reasoning</li><li>Evaluate computer-use models on real-world tasks</li><li>Own the training and evaluation pipeline end to end</li><li>Take open-ended problems from question to working model, with minimal predefined structure</li><li>Write up findings as technical reports and papers</li></ul>Ideal candidate<ul><li>Has real research experience — can define a problem, not just execute a known one</li><li>Has trained models before (not just fine-tuned APIs) and is fluent in Python</li><li>Bachelor's in computer science and related fields.</li><li>Energized by open-ended problems and ambiguity</li><li>Wants to publish, not just ship</li><li>Takes ownership without needing to be guided</li><li>Genuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptions</li></ul>Nice to have<ul><li>Prior founder or founding-engineer experience</li><li>Strong product taste</li><li>Worked on healthcare datasets before</li><li>Built LLM-powered products before</li><li>Ambitions to start your own company someday — we'll support that path</li></ul>What you get<ul><li>Direct, daily work with the founders, plus exposure to board and investor conversations</li><li>Real ownership of technical direction, with scope that grows as the company does</li><li>Full compute and data to do the work properly</li><li>Competitive salary and meaningful equity</li></ul>

Founding AI Data Engineer - Optexity (India)

<h2>About Optexity</h2>Optexity is a product-driven research lab building clinical reasoning and computer use models on data no other lab can reach. We deploy directly inside clinics and hospitals — including systems with no APIs, using integration infrastructure we've built and open-sourced — and in return become their preferred partner. That gives us proprietary clinical reasoning trajectories from practicing physicians, and a feedback loop between real patient encounters, our models, and the products built on top of them.We're a small, fast-moving founding team with multiple published papers in NeurIPS, ICML, CVPR etc and background from Apple, Amazon, Microsoft, CMU, IIT.We are backed by world-class investors and leaders like Jeff Dean, Neotribe VC, PearVC, Together Fund and Zapier Fund.<div> </div><h2>How we work</h2><ul><li>Customer obsession — we start with the customer and work backwards</li><li>Intellectual honesty — ideas matter more than titles; we communicate directly and assume good intent, even in disagreement</li><li>Bias for action — we build and learn with customers rather than debate in the abstract</li><li>Extreme ownership — we own outcomes, not just tasks, and see problems through</li></ul>Why this role existsMost research roles at this stage hand you a dataset everyone already has and ask you to be marginally better than the last person who tried. Here you get data nobody else has — real clinical reasoning trajectories from practicing physicians — and the room to figure out what to do with it. This is a founding research hire: you'll define the agenda as much as execute it, with direct founder access, real compute, and nothing between an idea and an experiment.What you'll do<ul><li>Work with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product direction</li><li>Build clinical reasoning models that improve physician and clinic workflows</li><li>Design and publish benchmarks that expose where current LLMs fall short on real clinical reasoning</li><li>Evaluate computer-use models on real-world tasks</li><li>Own the training and evaluation pipeline end to end</li><li>Take open-ended problems from question to working model, with minimal predefined structure</li><li>Write up findings as technical reports and papers</li></ul>Ideal candidate<ul><li>Has real research experience — can define a problem, not just execute a known one</li><li>Has trained models before (not just fine-tuned APIs) and is fluent in Python</li><li>Master's or higher in ML or a related field</li><li>Energized by open-ended problems and ambiguity</li><li>Wants to publish, not just ship</li><li>Takes ownership without needing to be guided</li><li>Genuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptions</li></ul>Nice to have<ul><li>Prior founder or founding-engineer experience</li><li>Strong product taste</li><li>Worked on healthcare datasets before</li><li>Built LLM-powered products before</li><li>Ambitions to start your own company someday — we'll support that path</li></ul>What you get<ul><li>Direct, daily work with the founders, plus exposure to board and investor conversations</li><li>Real ownership of technical direction, with scope that grows as the company does</li><li>Full compute and data to do the work properly</li><li>Competitive salary and meaningful equity</li><li>Visa sponsorship available</li></ul>

AI Research Intern - Optexity (USA)

<h2>About Optexity</h2>Optexity is a product-driven research lab building clinical reasoning and computer use models on data no other lab can reach. We deploy directly inside clinics and hospitals — including systems with no APIs, using integration infrastructure we've built and open-sourced — and in return become their preferred partner. That gives us proprietary clinical reasoning trajectories from practicing physicians, and a feedback loop between real patient encounters, our models, and the products built on top of them.We're a small, fast-moving founding team with multiple published papers in NeurIPS, ICML, CVPR etc and background from Apple, Amazon, Microsoft, CMU, IIT.We are backed by world-class investors and leaders like Jeff Dean, Neotribe VC, PearVC, Together Fund and Zapier Fund.<h2>How we work</h2><ul><li>Customer obsession — we start with the customer and work backwards</li><li>Intellectual honesty — ideas matter more than titles; we communicate directly and assume good intent, even in disagreement</li><li>Bias for action — we build and learn with customers rather than debate in the abstract</li><li>Extreme ownership — we own outcomes, not just tasks, and see problems through</li></ul>Why this role existsMost research roles at this stage hand you a dataset everyone already has and ask you to be marginally better than the last person who tried. Here you get data nobody else has — real clinical reasoning trajectories from practicing physicians — and the room to figure out what to do with it. This is a founding research hire: you'll define the agenda as much as execute it, with direct founder access, real compute, and nothing between an idea and an experiment.What you'll do<ul><li>Work with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product direction</li><li>Build clinical reasoning models that improve physician and clinic workflows</li><li>Design and publish benchmarks that expose where current LLMs fall short on real clinical reasoning</li><li>Evaluate computer-use models on real-world tasks</li><li>Own the training and evaluation pipeline end to end</li><li>Take open-ended problems from question to working model, with minimal predefined structure</li><li>Write up findings as technical reports and papers</li></ul>Ideal candidate<ul><li>Has real research experience — can define a problem, not just execute a known one</li><li>Has trained models before (not just fine-tuned APIs) and is fluent in Python</li><li>Master's or higher in ML or a related field</li><li>Energized by open-ended problems and ambiguity</li><li>Wants to publish, not just ship</li><li>Takes ownership without needing to be guided</li><li>Genuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptions</li></ul>Nice to have<ul><li>Prior founder or founding-engineer experience</li><li>Strong product taste</li><li>Worked on healthcare datasets before</li><li>Built LLM-powered products before</li><li>Ambitions to start your own company someday — we'll support that path</li></ul>What you get<ul><li>Direct, daily work with the founders, plus exposure to board and investor conversations</li><li>Real ownership of technical direction, with scope that grows as the company does</li><li>Full compute and data to do the work properly</li><li>Competitive salary and meaningful equity</li><li>Visa sponsorship available</li></ul>

Founding AI Research Scientist - Optexity (USA)

<h2>About Takt</h2>Our Vision: A world where factories think.Takt is building the brains of factories.Factories have spent the last decade digitizing: adding sensors, software, anddashboards everywhere. Yet most factories aren’t meaningfully smarter. Data isfragmented across disconnected systems, locked in reports, and dependent on tribalknowledge living in people’s heads.The hard problem isn’t collecting data, it’s turning it into institutional intelligence.Takt is building the brains of factories. We’re closing the loop from data → information→ insight → action by orchestrating AI agents with deep operational context acrossthe entire manufacturing stack. These systems reason about what’s happening, why it’shappening, and what to do next, acting as a continuous thought partner to factoryleadership across sales, operations, supply chain, and finance.This is not a chatbot or another analytics layer. We’re pushing the frontier of AIreasoning and decision-making in real-world, high-stakes environments. Just as Teslaredefined the car as a software-first system, Takt is redefining manufacturing as asoftware-defined industry.<h3>Funding</h3>Takt is funded by Pear VC (backed Doordash, Gusto) and is part of thePearX accelerator program.Website: <a target="_blank" rel="noopener noreferrer ugc" href="http://www.taktconnect.com">www.taktconnect.com</a><h3>Founders</h3>Takt was founded by Adhitya Raghavan (CEO) and Will Zunker (CTO).Adhitya is from a small village in South India and first learned about factories by workingas an operator on his father’s shop floor. His journey through squash took him toPrinceton (Mechanical &amp;amp; Aerospace Engineering), Harvard (MBA, Baker Scholar), andBain. Now, he’s bringing it full circle, building Takt to solve the very pain he experiencedfirsthand in factories and aiming to put a dent in the $8 trillion of waste that occurs inmanufacturing globally.Will an MIT PhD has deep experience in optimizing manufacturing processes throughphysics-based modeling and AI, driven by a belief that advanced methods canfundamentally transform how things are made. Along the way, he built open-sourcetools and collaborated with engineers across diverse manufacturing sectors, learningfirsthand the challenges of waste and inefficiency on the factory floor. Now, at Takt, he’schanneling that journey into building technology that helps factories run smarter, faster,and with less waste.<h3>Core Cultural Values</h3><ol><li>Stupid enough to make our dreams a reality: We are dreamers who build a better world. We own our decisions. We have the irrational belief and hunger to work until our dreams are a reality</li><li>The last one standing: Every single person takes ownership of their work with a gritty resourcefulness and dares to fight for it with every ounce of their energy.</li><li>Insatiable curiosity: Its always day 1 and we are an empty cup, a dry sponge ready to learn. Approaching every action with humility and scientific rigor and adopting a Kaizen mindset.</li><li>The best F1 team in the stadium: We win together and lose together; every person plays a crucial role to win the race. We have high expectations, trust our teammates and create the environment for everyone to shine. In the path the victory, we celebrate every small professional and personal win cherishing the journey</li></ol><h3>Role</h3>Founding Full Stack Engineer<ul><li>Location: San Francisco, in person 4 to 5 days a week. Open to candidates willing to relocate.</li><li>Hours: 50 to 70 hours per week with space for personal interests</li><li>Compensation: 120-180K</li><li>Equity: To be discussed (0.5-1%)</li><li>Prior experience: 2-3 years minimum</li></ul>You will be the first engineering hire and will work directly with the founders to build thecore intelligence engine that powers modern factories. You will help design, build, anddeploy systems across the entire stack and influence the earliest product, infrastructure,and architecture decisions. This role is for someone who wants deep ownership andreal long-term impact.<h3>Core Technical Requirements</h3><ul><li>Experience deploying and maintain full stack production grade code at scale to support 50-100 enterprise customers with minimal downtime</li><li>Strong cloud infrastructure skills (Azure preferred).</li><li>Deep experience with data pipelines, especially cleaning messy, inconsistent real-world data AI-native in approach to coding utilizing new-age tools (e.g. Claude Code) to develop with speed.</li><li>Strong generalist coding skillset especially on the back-end side.</li></ul><h3>Nice to have</h3><ul><li>Experience shipping production AI/ML or LLM systems end-to-end (not research prototypes).</li><li>Comfortable owning LLM tool orchestration, chain design, agent delegation, prompt engineering, and evaluation methodology.</li><li>Hands-on experience integrating with enterprise systems like ERP, MES, and other data historians (Microsoft Business Central/ SAP)</li><li>Working knowledge of relational + SQL databases</li><li>Familiarity with per missioning models, data governance, or SOC2/GDPR.</li><li>Experience engaging with IT teams and meeting security requirements for enterprise customers.</li></ul><h3>Mindset &amp; Work Style</h3><ul><li>Strong sense of agency and ownership: comfortable making fast decisions and revising them.</li><li>Shipping and moving quickly, makes practical choices, and delivers value to customers</li><li>Willing to learn and can get things done, even if they don’t know it from the get-go</li><li>Thrives with incomplete information</li><li>Passion for the product: speaks their mind, contributes ideas, and pushes for the best solution</li><li>Long-term commitment to the mission, we are building foundational systems, not short-lived features. This means putting in the hours consistently and also making harder short term decisions for long term benefits</li></ul>

Pear Vc

Open jobs at Pear Vc

ML Software Engineer at Infi Robotics

Founding AI Data Engineer - Optexity (India)

AI Research Intern - Optexity (USA)

Founding AI Research Scientist - Optexity (USA)

Founding Full-Stack Engineer - Takt

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