Efficiency Research Engineer
il y a 7 heures
Efficiency Research Engineer Adaption About Us We believe the future is adaptable, and not one-size-fits-all. We will lead in real-time efficient adaptation that combines algorithm with innovative interface design. Our global team—based in SF and beyond—brings together top talent in AI innovation. Backed by world‑class investors, we’re building Adaptable Intelligence. Our Research Values We are extremely driven and focused on one goal: building highly efficient, adaptable intelligence. We work as a single team, placing focus on a few key bets at a time. We are not driven by the goal of maximizing number of papers; we only publish when our work has a real‑world impact. If a simple method works well, we prioritize it over a more complex and less performant method even if it is not as elegant. Our choices are always motivated by rigor and experimental success, and we share insights to drive wider progress in continuous learning and highly efficient adaptable intelligence. The Role We are obsessed with efficiency—allowing for real‑time evolution of AI depends on making adaptable intelligence extremely efficient. We co‑design our algorithms with hardware requirements and serving in mind. We explore new research and algorithms within severe compute budgets. These budgets force us to innovate and collaborate across software, hardware, and algorithm. This role is part of the founding team, shaping both the research agenda and the product direction. You’ll collaborate with world‑class peers and work at the cutting edge of AI efficiency research, where constraints drive creativity. You will contribute to building a company where efficiency isn’t an afterthought—it’s the core principle. Responsibilities Lead focused bets on real‑time adaptation, including innovating on algorithmic recipes that yield large real‑time gains. Collaborate across software, hardware, and algorithmic domains to achieve system‑wide efficiency gains. Explore new research directions in efficient machine learning, alignment, inference time scaling, and adaptable systems. Focus on gradient‑free techniques that deliver large performance gains and data‑efficient techniques for rapid alignment and adaptation. Qualifications Deep expertise in at least one area: model efficiency, distributed systems, hardware acceleration, or algorithmic optimization. Systems‑thinking ability to understand and optimize across the full ML stack. Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow). Knowledge of model optimization techniques (RLHF, fine‑tuning). Experience in an industry lab with computing at scale is a plus. What We Offer Competitive salary + meaningful equity. Learning and development budget to support your growth. Comprehensive medical benefits and generous PTO. Annual travel stipend to explore somewhere new—because building global technology means staying adaptable to new places and perspectives. Mission‑driven team shaping the future of intelligence, where you’ll enjoy high ownership and the opportunity to make a career‑defining impact. Details Seniority level: Entry level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Technology, Information and Internet #J-18808-Ljbffr
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Research And Development Engineer
il y a 4 jours
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il y a 6 jours
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il y a 1 semaine
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Paris, France Apple Temps plein**Summary** Posted: Nov 15, 2024 Weekly Hours**:35** Role Number**:200579190** The Apple Machine Learning Research Team is seeking a strong graduate level researcher with experience training large foundation models from scratch for computer vision and multimodal representation learning. The focus for this internship will likely emphasize understanding...
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il y a 6 jours
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il y a 2 semaines
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il y a 6 jours
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il y a 1 semaine
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Data Adaptation Research Engineer
il y a 8 heures
Paris, France Adaption Temps pleinJoin to apply for the Data Adaptation Research Engineer role at Adaption 1 day ago Be among the first 25 applicants About Us We believe the future is adaptable, and not one-size-fits-all. We will lead in real-time efficient adaptation that combines algorithm with innovative interface design. Our global team—based in SF and beyond—brings together top...
