Employer profile
Doe
3 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Machine Learning Researcher
San Francisco | OnSite
onsite Salary not disclosedMachine Learning Researcher San Francisco | OnSite At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine Who we're looking for: - Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks - Someone who is goal-oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal - Proficient in Python, Tensorflow or PyTorch
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Software Engineer - Systems
San Francisco | OnSite
onsite Salary not disclosedSoftware Engineer - Systems San Francisco | OnSite If you have personally made over $100,000 via trading (manual / algo) or have a github repo with 500+ stars, please email [email protected] [email protected] directly to have your application fast-tracked. At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine Ideal candidate credentials: - Expert-level understanding of systems programming (C++ or Rust, concurrency, databases, operating systems) - Previous experience founding or working at startups is a plus - Has written prompts / tinkered with GPT models and apps What you'll do: As a systems engineer at Doe, you'll help build the core systems powering our agents' ability to process and query massive volumes of unstructured data at enterprise scale.
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Software Engineer - Product
San Francisco | OnSite
onsite Salary not disclosedSoftware Engineer - Product San Francisco | OnSite If you have a github repo with 500+ stars or have built a product with 10k+ users, please email [email protected] [email protected] directly to have your application fast-tracked. At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine the future of Doe. Ideal candidate credentials: - Expert-level understanding of Typescript, React, HTML, CSS, SQL, NextJS - Previous experience founding or working at startups is a plus - Has written prompts / tinkered with GPT models and apps What you'll do: - Build performant and beautiful experiences - Set the standard for UX of agent products - Push through technical walls - Talk to customers!