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Research Scientist / Research Engineer

Adaption · United States

remoteunknownPosted Mar 15, 2026PythonPyTorchJAXTensorFlowdeep learningRLHFfine-tuning

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About this role

**Research Scientist / Research Engineer** **Our Research Principles** - **Sweat the details:** Technical excellence means obsessing over every detail. - **Co-design as one system:** Serving, algorithms, and interface work together to maximize efficiency and enable real-time adaptation. - **Move with conviction:** Urgency as a unified team—focus resources on a few high-conviction bets where research and impact intersect. - **Metrics that matter:** We build working products and share what moves the field—not optimize for paper count. **The Role** This is a research role focused on **real-world impact**. You’ll help build frontier innovation around: - **Efficiency** - **Gradient-free exploration** - **Real-time learning** - **Interface design** As synthetic data generation becomes cheaper, we can treat the data space as **malleable** and optimize it—steering synthetic data toward desirable properties and making previously invisible worlds more visible. **Responsibilities** - **Innovation:** Co-design algorithms that react in real time to product signals and feedback; design new feedback mechanisms. - **Cross-stack optimization:** Collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains. - **Measure what matters:** Prioritize real-world impact—product is central because algorithms can interact with the world. **Qualifications** - **PhD** (or equivalent research experience) in a computer science field - **4–5+ years** of industry experience - Deep expertise in at least one area: **model efficiency**, **real-time alignment**, or **algorithmic optimization** - **Systems thinking** across the full ML stack - Strong **Python** skills; experience with **PyTorch, JAX, or TensorFlow** - Knowledge of model optimization techniques (e.g., **RLHF**, **fine-tuning**) - Experience in an **industry lab** with computing at scale **About Us** Most AI is “frozen”—it doesn’t adapt to the world. We’re building **efficient intelligence that evolves in real time**: flexible, personalized, and accessible to everyone. We believe **efficiency** expands access and helps innovation benefit the many, not the few. **Benefits** - **Flexible work:** In-person collaboration in the **Bay Area**, plus a distributed global-first team and offsites. - **Adaption Passport:** Annual travel stipend. - **Lunch stipend:** Weekly meal allowance. - **Well-being:** Comprehensive medical benefits and generous paid time off. *We encourage you to apply even if you don’t check every box—adaptability and bold ideas matter.*

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